Overview

Brought to you by YData

Dataset statistics

Number of variables77
Number of observations44296
Missing cells0
Missing cells (%)0.0%
Total size in memory26.0 MiB
Average record size in memory616.0 B

Variable types

Numeric76
Text1

Alerts

total_gas_paid_eth is highly skewed (γ1 = 27.570452) Skewed
outgoing_tx_avg_eth is highly skewed (γ1 = 20.76867247) Skewed
incoming_tx_avg_eth is highly skewed (γ1 = 20.23338444) Skewed
min_eth_ever is highly skewed (γ1 = 54.49696723) Skewed
total_balance_eth is highly skewed (γ1 = 32.91135777) Skewed
repay_amount_avg_eth is highly skewed (γ1 = 26.94723168) Skewed
withdraw_deposit_diff_if_positive_eth is highly skewed (γ1 = 91.9626622) Skewed
net_incoming_tx_count has 1012 (2.3%) zeros Zeros
risky_tx_count has 36297 (81.9%) zeros Zeros
risky_unique_contract_count has 36297 (81.9%) zeros Zeros
risky_first_last_tx_timestamp_diff has 37829 (85.4%) zeros Zeros
risky_sum_outgoing_amount_eth has 37113 (83.8%) zeros Zeros
outgoing_tx_sum_eth has 955 (2.2%) zeros Zeros
outgoing_tx_avg_eth has 955 (2.2%) zeros Zeros
max_eth_ever has 2036 (4.6%) zeros Zeros
min_eth_ever has 2036 (4.6%) zeros Zeros
total_balance_eth has 2036 (4.6%) zeros Zeros
total_collateral_eth has 977 (2.2%) zeros Zeros
total_collateral_avg_eth has 6882 (15.5%) zeros Zeros
total_available_borrows_eth has 978 (2.2%) zeros Zeros
total_available_borrows_avg_eth has 6882 (15.5%) zeros Zeros
avg_weighted_risk_factor has 10288 (23.2%) zeros Zeros
risk_factor_above_threshold_daily_count has 24930 (56.3%) zeros Zeros
avg_risk_factor has 6882 (15.5%) zeros Zeros
max_risk_factor has 6882 (15.5%) zeros Zeros
borrow_amount_sum_eth has 7090 (16.0%) zeros Zeros
borrow_amount_avg_eth has 7090 (16.0%) zeros Zeros
borrow_count has 6788 (15.3%) zeros Zeros
repay_amount_sum_eth has 14864 (33.6%) zeros Zeros
repay_amount_avg_eth has 14864 (33.6%) zeros Zeros
repay_count has 14613 (33.0%) zeros Zeros
borrow_repay_diff_eth has 12448 (28.1%) zeros Zeros
deposit_count has 1317 (3.0%) zeros Zeros
deposit_amount_sum_eth has 1511 (3.4%) zeros Zeros
time_since_first_deposit has 1317 (3.0%) zeros Zeros
withdraw_amount_sum_eth has 11467 (25.9%) zeros Zeros
withdraw_deposit_diff_if_positive_eth has 42002 (94.8%) zeros Zeros
liquidation_count has 34327 (77.5%) zeros Zeros
liquidation_amount_sum_eth has 34396 (77.7%) zeros Zeros
market_aroonup has 7552 (17.0%) zeros Zeros
market_ht_trendmode has 7116 (16.1%) zeros Zeros
unique_borrow_protocol_count has 6788 (15.3%) zeros Zeros
unique_lending_protocol_count has 1317 (3.0%) zeros Zeros

Reproduction

Analysis started2024-11-28 21:57:53.636314
Analysis finished2024-11-28 21:57:54.351460
Duration0.72 seconds
Software versionydata-profiling vv4.12.0
Download configurationconfig.json

Variables

borrow_block_number
Real number (ℝ)

Distinct42584
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9343121.346
Minimum7711117
Maximum10336628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:54.451038image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum7711117
5-th percentile8084287
Q18638256.5
median9470717
Q310087426.25
95-th percentile10316948.75
Maximum10336628
Range2625511
Interquartile range (IQR)1449169.75

Descriptive statistics

Standard deviation777210.7893
Coefficient of variation (CV)0.08318534679
Kurtosis-1.228857667
Mean9343121.346
Median Absolute Deviation (MAD)729096
Skewness-0.2821441777
Sum4.138629031 × 1011
Variance6.04056611 × 1011
MonotonicityIncreasing
2024-11-28T18:57:54.599448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9010986 7
 
< 0.1%
9656456 6
 
< 0.1%
9656457 6
 
< 0.1%
9656300 6
 
< 0.1%
9125728 6
 
< 0.1%
9656482 5
 
< 0.1%
9656779 5
 
< 0.1%
9659114 5
 
< 0.1%
9656483 5
 
< 0.1%
9656484 5
 
< 0.1%
Other values (42574) 44240
99.9%
ValueCountFrequency (%)
7711117 1
< 0.1%
7711123 1
< 0.1%
7711126 1
< 0.1%
7711672 1
< 0.1%
7712572 1
< 0.1%
ValueCountFrequency (%)
10336628 1
< 0.1%
10336627 1
< 0.1%
10336624 1
< 0.1%
10336621 1
< 0.1%
10336599 1
< 0.1%

borrow_timestamp
Real number (ℝ)

Distinct42584
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1579559250
Minimum1557197308
Maximum1593110247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:54.662189image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1557197308
5-th percentile1562235824
Q11569686740
median1581544166
Q31589770500
95-th percentile1592847334
Maximum1593110247
Range35912939
Interquartile range (IQR)20083760.25

Descriptive statistics

Standard deviation10702819.88
Coefficient of variation (CV)0.00677582679
Kurtosis-1.241299964
Mean1579559250
Median Absolute Deviation (MAD)10181560.5
Skewness-0.2981747516
Sum6.996815652 × 1013
Variance1.145503534 × 1014
MonotonicityIncreasing
2024-11-28T18:57:54.750403image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1574875634 7
 
< 0.1%
1584012797 6
 
< 0.1%
1584012818 6
 
< 0.1%
1584010719 6
 
< 0.1%
1576674566 6
 
< 0.1%
1584013287 5
 
< 0.1%
1584017639 5
 
< 0.1%
1584048400 5
 
< 0.1%
1584013292 5
 
< 0.1%
1584013304 5
 
< 0.1%
Other values (42574) 44240
99.9%
ValueCountFrequency (%)
1557197308 1
< 0.1%
1557197447 1
< 0.1%
1557197497 1
< 0.1%
1557204933 1
< 0.1%
1557217208 1
< 0.1%
ValueCountFrequency (%)
1593110247 1
< 0.1%
1593110234 1
< 0.1%
1593110205 1
< 0.1%
1593110136 1
< 0.1%
1593109872 1
< 0.1%
Distinct6788
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:54.914617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length42
Median length42
Mean length42
Min length42

Characters and Unicode

Total characters1860432
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2614 ?
Unique (%)5.9%

Sample

1st row0x502cb8985b2c92a8d4bf309cdaa89de9be442708
2nd row0x502cb8985b2c92a8d4bf309cdaa89de9be442708
3rd row0x502cb8985b2c92a8d4bf309cdaa89de9be442708
4th row0xa7ff0d561cd15ed525e31bbe0af3fe34ac2059f6
5th row0xbd9ed130a53cfafcf81502e4d35329a6c4d53410
ValueCountFrequency (%)
0x586e32930ac05127de429bd566eaa2758fcbd9bc 2467
 
5.6%
0x3e2dbda5f310aade1503557b2e7f356eaf161641 410
 
0.9%
0x9709a9f77d4349e1da4220f1458fbe9339d612e3 401
 
0.9%
0x40335581dd8692b698762168908d4ea23b0b94f9 296
 
0.7%
0x18c42014fb0aed3e35515eb45df8498af67773a4 281
 
0.6%
0xa25cc31f54fd90bba0d653e936d78f9ca137723f 252
 
0.6%
0x8f9f67770c8cbfff7d5748d15996dc1cfb2fc5fc 245
 
0.6%
0x430c96378f8918736173252a7bb056d35f4c2ce6 235
 
0.5%
0x63d245384870dd42d396887c57cb3b6ef2ad605d 209
 
0.5%
0x08a884c7971e83e78dd129be9b5e2723f3c43282 204
 
0.5%
Other values (6778) 39296
88.7%
2024-11-28T18:57:55.162406image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 156006
 
8.4%
2 114168
 
6.1%
5 113354
 
6.1%
e 112470
 
6.0%
6 112283
 
6.0%
d 111893
 
6.0%
3 111211
 
6.0%
b 110775
 
6.0%
c 110772
 
6.0%
7 110686
 
5.9%
Other values (7) 696814
37.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1860432
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 156006
 
8.4%
2 114168
 
6.1%
5 113354
 
6.1%
e 112470
 
6.0%
6 112283
 
6.0%
d 111893
 
6.0%
3 111211
 
6.0%
b 110775
 
6.0%
c 110772
 
6.0%
7 110686
 
5.9%
Other values (7) 696814
37.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1860432
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 156006
 
8.4%
2 114168
 
6.1%
5 113354
 
6.1%
e 112470
 
6.0%
6 112283
 
6.0%
d 111893
 
6.0%
3 111211
 
6.0%
b 110775
 
6.0%
c 110772
 
6.0%
7 110686
 
5.9%
Other values (7) 696814
37.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1860432
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 156006
 
8.4%
2 114168
 
6.1%
5 113354
 
6.1%
e 112470
 
6.0%
6 112283
 
6.0%
d 111893
 
6.0%
3 111211
 
6.0%
b 110775
 
6.0%
c 110772
 
6.0%
7 110686
 
5.9%
Other values (7) 696814
37.5%

first_tx_timestamp
Real number (ℝ)

Distinct6662
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1550121517
Minimum1438269973
Maximum1593108697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:55.247774image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1438269973
5-th percentile1497912526
Q11522917940
median1558755509
Q31573658473
95-th percentile1591683896
Maximum1593108697
Range154838724
Interquartile range (IQR)50740533

Descriptive statistics

Standard deviation29362772.18
Coefficient of variation (CV)0.01894223895
Kurtosis-0.6378402343
Mean1550121517
Median Absolute Deviation (MAD)21278020
Skewness-0.5229625971
Sum6.866418272 × 1013
Variance8.621723899 × 1014
MonotonicityNot monotonic
2024-11-28T18:57:55.331142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1522917940 2467
 
5.6%
1503350724 410
 
0.9%
1549046574 401
 
0.9%
1579838772 296
 
0.7%
1564025678 281
 
0.6%
1559584711 252
 
0.6%
1571109305 245
 
0.6%
1575936430 235
 
0.5%
1583019284 231
 
0.5%
1556053436 209
 
0.5%
Other values (6652) 39269
88.7%
ValueCountFrequency (%)
1438269973 10
< 0.1%
1438956911 7
< 0.1%
1439559552 1
 
< 0.1%
1451051299 1
 
< 0.1%
1452202645 3
 
< 0.1%
ValueCountFrequency (%)
1593108697 1
< 0.1%
1593102052 1
< 0.1%
1593101722 1
< 0.1%
1593099597 2
< 0.1%
1593099273 1
< 0.1%

last_tx_timestamp
Real number (ℝ)

Distinct42555
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1579500613
Minimum1557197074
Maximum1593150888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:55.445696image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1557197074
5-th percentile1562145354
Q11569553492
median1581498868
Q31589671019
95-th percentile1592836675
Maximum1593150888
Range35953814
Interquartile range (IQR)20117527

Descriptive statistics

Standard deviation10716090.78
Coefficient of variation (CV)0.006784480288
Kurtosis-1.24490876
Mean1579500613
Median Absolute Deviation (MAD)10197972
Skewness-0.2934994918
Sum6.996555917 × 1013
Variance1.148346015 × 1014
MonotonicityNot monotonic
2024-11-28T18:57:55.528790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1584012296 19
 
< 0.1%
1584010620 15
 
< 0.1%
1584195290 10
 
< 0.1%
1584054430 7
 
< 0.1%
1574660187 7
 
< 0.1%
1584009017 6
 
< 0.1%
1584012797 6
 
< 0.1%
1584015296 6
 
< 0.1%
1584012818 5
 
< 0.1%
1574662768 5
 
< 0.1%
Other values (42545) 44210
99.8%
ValueCountFrequency (%)
1557197074 1
< 0.1%
1557197308 1
< 0.1%
1557197447 1
< 0.1%
1557197497 1
< 0.1%
1557197545 1
< 0.1%
ValueCountFrequency (%)
1593150888 2
< 0.1%
1593110102 1
< 0.1%
1593110003 1
< 0.1%
1593109810 1
< 0.1%
1593109566 1
< 0.1%

wallet_age
Real number (ℝ)

Distinct44069
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29437732.57
Minimum137
Maximum154083607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:55.613914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum137
5-th percentile56084.75
Q13641601
median19002560.5
Q351968178.75
95-th percentile85155387.25
Maximum154083607
Range154083470
Interquartile range (IQR)48326577.75

Descriptive statistics

Standard deviation28977526.45
Coefficient of variation (CV)0.9843667946
Kurtosis-0.3287418762
Mean29437732.57
Median Absolute Deviation (MAD)18041384.5
Skewness0.8306786406
Sum1.303973802 × 1012
Variance8.396970394 × 1014
MonotonicityNot monotonic
2024-11-28T18:57:55.695523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
993513 6
 
< 0.1%
993534 6
 
< 0.1%
994008 5
 
< 0.1%
994020 5
 
< 0.1%
993570 4
 
< 0.1%
995937 4
 
< 0.1%
995963 4
 
< 0.1%
995992 4
 
< 0.1%
998355 4
 
< 0.1%
998362 4
 
< 0.1%
Other values (44059) 44250
99.9%
ValueCountFrequency (%)
137 1
< 0.1%
175 1
< 0.1%
179 1
< 0.1%
202 1
< 0.1%
204 1
< 0.1%
ValueCountFrequency (%)
154083607 1
< 0.1%
153882015 1
< 0.1%
153820137 1
< 0.1%
153799300 1
< 0.1%
153797242 1
< 0.1%

incoming_tx_count
Real number (ℝ)

Distinct5193
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean999.3695142
Minimum1
Maximum98747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:55.792170image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q134
median134
Q3471
95-th percentile5972.5
Maximum98747
Range98746
Interquartile range (IQR)437

Descriptive statistics

Standard deviation3065.15326
Coefficient of variation (CV)3.067087014
Kurtosis93.80284103
Mean999.3695142
Median Absolute Deviation (MAD)120
Skewness6.493295872
Sum44268072
Variance9395164.505
MonotonicityNot monotonic
2024-11-28T18:57:55.874049image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 604
 
1.4%
4 538
 
1.2%
5 526
 
1.2%
2 512
 
1.2%
6 480
 
1.1%
7 444
 
1.0%
8 435
 
1.0%
11 405
 
0.9%
12 393
 
0.9%
9 392
 
0.9%
Other values (5183) 39567
89.3%
ValueCountFrequency (%)
1 268
0.6%
2 512
1.2%
3 604
1.4%
4 538
1.2%
5 526
1.2%
ValueCountFrequency (%)
98747 1
< 0.1%
98164 1
< 0.1%
98156 1
< 0.1%
62281 1
< 0.1%
62093 1
< 0.1%

outgoing_tx_count
Real number (ℝ)

Distinct6220
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1360.256231
Minimum0
Maximum71087
Zeros19
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:55.940254image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q152
median207
Q3678
95-th percentile8935.75
Maximum71087
Range71087
Interquartile range (IQR)626

Descriptive statistics

Standard deviation3936.52695
Coefficient of variation (CV)2.893959874
Kurtosis58.55366895
Mean1360.256231
Median Absolute Deviation (MAD)184
Skewness5.973346012
Sum60253910
Variance15496244.43
MonotonicityNot monotonic
2024-11-28T18:57:56.027206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 441
 
1.0%
4 378
 
0.9%
6 346
 
0.8%
5 330
 
0.7%
8 329
 
0.7%
10 327
 
0.7%
9 321
 
0.7%
11 314
 
0.7%
7 294
 
0.7%
13 290
 
0.7%
Other values (6210) 40926
92.4%
ValueCountFrequency (%)
0 19
 
< 0.1%
1 21
 
< 0.1%
2 169
 
0.4%
3 441
1.0%
4 378
0.9%
ValueCountFrequency (%)
71087 1
< 0.1%
71083 1
< 0.1%
71059 1
< 0.1%
70414 1
< 0.1%
70277 1
< 0.1%

net_incoming_tx_count
Real number (ℝ)

Zeros 

Distinct3146
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-360.8867166
Minimum-68013
Maximum97831
Zeros1012
Zeros (%)2.3%
Negative39195
Negative (%)88.5%
Memory size346.2 KiB
2024-11-28T18:57:56.201613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-68013
5-th percentile-1971
Q1-198
median-49
Q3-8
95-th percentile9
Maximum97831
Range165844
Interquartile range (IQR)190

Descriptive statistics

Standard deviation2167.545039
Coefficient of variation (CV)-6.006164648
Kurtosis782.1197863
Mean-360.8867166
Median Absolute Deviation (MAD)48
Skewness-9.702613856
Sum-15985838
Variance4698251.498
MonotonicityNot monotonic
2024-11-28T18:57:56.284237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 1174
 
2.7%
0 1012
 
2.3%
-2 1000
 
2.3%
-3 925
 
2.1%
-4 754
 
1.7%
-5 698
 
1.6%
-6 621
 
1.4%
-7 619
 
1.4%
1 617
 
1.4%
-8 587
 
1.3%
Other values (3136) 36289
81.9%
ValueCountFrequency (%)
-68013 1
< 0.1%
-68012 1
< 0.1%
-67990 1
< 0.1%
-67416 1
< 0.1%
-67295 1
< 0.1%
ValueCountFrequency (%)
97831 1
< 0.1%
97293 1
< 0.1%
97288 1
< 0.1%
61806 1
< 0.1%
61627 1
< 0.1%

total_gas_paid_eth
Real number (ℝ)

Skewed 

Distinct44250
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.717345491
Minimum0
Maximum506.170766
Zeros19
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:56.357772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.008774214
Q10.07664737469
median0.3493360235
Q31.406124492
95-th percentile15.07096688
Maximum506.170766
Range506.170766
Interquartile range (IQR)1.329477117

Descriptive statistics

Standard deviation13.38002806
Coefficient of variation (CV)4.92393334
Kurtosis948.0144765
Mean2.717345491
Median Absolute Deviation (MAD)0.3246549251
Skewness27.570452
Sum120367.5359
Variance179.0251508
MonotonicityNot monotonic
2024-11-28T18:57:56.445913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
< 0.1%
0.00229566 6
 
< 0.1%
0.003006265 3
 
< 0.1%
0.0035292855 3
 
< 0.1%
0.000985806 3
 
< 0.1%
0.006316094 3
 
< 0.1%
0.009885106 3
 
< 0.1%
0.00985806 2
 
< 0.1%
0.004575155 2
 
< 0.1%
0.002730762 2
 
< 0.1%
Other values (44240) 44250
99.9%
ValueCountFrequency (%)
0 19
< 0.1%
6.3 × 10-51
 
< 0.1%
0.0002235038 1
 
< 0.1%
0.0003142844779 1
 
< 0.1%
0.000316652 1
 
< 0.1%
ValueCountFrequency (%)
506.170766 1
< 0.1%
506.0602507 1
< 0.1%
506.0497811 1
< 0.1%
505.6416373 1
< 0.1%
504.571068 1
< 0.1%

avg_gas_paid_per_tx_eth
Real number (ℝ)

Distinct44247
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002874357242
Minimum0
Maximum0.4151782961
Zeros19
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:56.507940image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.000436820489
Q10.0009371456048
median0.001550231761
Q30.002772893086
95-th percentile0.007452818198
Maximum0.4151782961
Range0.4151782961
Interquartile range (IQR)0.001835747481

Descriptive statistics

Standard deviation0.008137414826
Coefficient of variation (CV)2.831038087
Kurtosis436.0522957
Mean0.002874357242
Median Absolute Deviation (MAD)0.0007579428331
Skewness17.76135647
Sum127.3225284
Variance6.621752006 × 10-5
MonotonicityNot monotonic
2024-11-28T18:57:56.594574image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
< 0.1%
0.00229566 6
 
< 0.1%
0.000328602 3
 
< 0.1%
0.0011764285 3
 
< 0.1%
0.001002088333 3
 
< 0.1%
0.004323745467 3
 
< 0.1%
0.002105364667 3
 
< 0.1%
0.004942553 3
 
< 0.1%
0.00328602 2
 
< 0.1%
0.000515016 2
 
< 0.1%
Other values (44237) 44249
99.9%
ValueCountFrequency (%)
0 19
< 0.1%
2.1 × 10-51
 
< 0.1%
6.650688333 × 10-51
 
< 0.1%
7.247934259 × 10-51
 
< 0.1%
7.857111948 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.4151782961 1
< 0.1%
0.2284236335 1
< 0.1%
0.2282161617 1
< 0.1%
0.2252988362 1
< 0.1%
0.2248729375 1
< 0.1%

risky_tx_count
Real number (ℝ)

Zeros 

Distinct108
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.639425682
Minimum0
Maximum122
Zeros36297
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:56.667761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum122
Range122
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.430854109
Coefficient of variation (CV)3.922626186
Kurtosis83.75654813
Mean1.639425682
Median Absolute Deviation (MAD)0
Skewness7.686354722
Sum72620
Variance41.35588457
MonotonicityNot monotonic
2024-11-28T18:57:56.749311image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36297
81.9%
1 1522
 
3.4%
2 1139
 
2.6%
3 769
 
1.7%
4 555
 
1.3%
5 445
 
1.0%
6 374
 
0.8%
7 340
 
0.8%
8 284
 
0.6%
9 265
 
0.6%
Other values (98) 2306
 
5.2%
ValueCountFrequency (%)
0 36297
81.9%
1 1522
 
3.4%
2 1139
 
2.6%
3 769
 
1.7%
4 555
 
1.3%
ValueCountFrequency (%)
122 1
< 0.1%
120 1
< 0.1%
118 1
< 0.1%
117 1
< 0.1%
115 2
< 0.1%

risky_unique_contract_count
Real number (ℝ)

Zeros 

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4550749503
Minimum0
Maximum58
Zeros36297
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:56.821392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum58
Range58
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.407241035
Coefficient of variation (CV)3.092328053
Kurtosis201.2892152
Mean0.4550749503
Median Absolute Deviation (MAD)0
Skewness8.899778169
Sum20158
Variance1.980327332
MonotonicityNot monotonic
2024-11-28T18:57:56.872659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 36297
81.9%
1 3129
 
7.1%
2 2024
 
4.6%
3 1337
 
3.0%
4 580
 
1.3%
5 392
 
0.9%
6 190
 
0.4%
8 107
 
0.2%
7 88
 
0.2%
13 40
 
0.1%
Other values (14) 112
 
0.3%
ValueCountFrequency (%)
0 36297
81.9%
1 3129
 
7.1%
2 2024
 
4.6%
3 1337
 
3.0%
4 580
 
1.3%
ValueCountFrequency (%)
58 2
< 0.1%
37 1
 
< 0.1%
34 4
< 0.1%
32 2
< 0.1%
29 1
 
< 0.1%

risky_first_tx_timestamp
Real number (ℝ)

Distinct2127
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1106956656
Minimum999999999
Maximum1593109012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:56.955287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum999999999
5-th percentile999999999
Q1999999999
median999999999
Q3999999999
95-th percentile1592576880
Maximum1593109012
Range593109013
Interquartile range (IQR)0

Descriptive statistics

Standard deviation227840214.1
Coefficient of variation (CV)0.2058257772
Kurtosis0.7583022493
Mean1106956656
Median Absolute Deviation (MAD)0
Skewness1.660802118
Sum4.903375204 × 1013
Variance5.191116316 × 1016
MonotonicityNot monotonic
2024-11-28T18:57:57.034360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999999999 36297
81.9%
1592348673 93
 
0.2%
1592106134 78
 
0.2%
1592322456 54
 
0.1%
1592489476 47
 
0.1%
1592626580 44
 
0.1%
1592488368 44
 
0.1%
1592379195 43
 
0.1%
1591470484 43
 
0.1%
1592609352 41
 
0.1%
Other values (2117) 7512
 
17.0%
ValueCountFrequency (%)
999999999 36297
81.9%
1591229570 13
 
< 0.1%
1591231255 1
 
< 0.1%
1591231486 1
 
< 0.1%
1591233751 2
 
< 0.1%
ValueCountFrequency (%)
1593109012 1
< 0.1%
1593108740 1
< 0.1%
1593107027 1
< 0.1%
1593104265 1
< 0.1%
1593103863 1
< 0.1%

risky_last_tx_timestamp
Real number (ℝ)

Distinct5683
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1107006994
Minimum999999999
Maximum1593109866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:57.104838image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum999999999
5-th percentile999999999
Q1999999999
median999999999
Q3999999999
95-th percentile1592752781
Maximum1593109866
Range593109867
Interquartile range (IQR)0

Descriptive statistics

Standard deviation227947406.2
Coefficient of variation (CV)0.2059132485
Kurtosis0.7582956349
Mean1107006994
Median Absolute Deviation (MAD)0
Skewness1.660800809
Sum4.903598181 × 1013
Variance5.196002001 × 1016
MonotonicityNot monotonic
2024-11-28T18:57:57.185224image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999999999 36297
81.9%
1592351337 93
 
0.2%
1592520588 44
 
0.1%
1592977105 33
 
0.1%
1592508564 30
 
0.1%
1592126663 22
 
< 0.1%
1592409110 18
 
< 0.1%
1592777949 16
 
< 0.1%
1592634163 16
 
< 0.1%
1592733713 15
 
< 0.1%
Other values (5673) 7712
 
17.4%
ValueCountFrequency (%)
999999999 36297
81.9%
1591233751 1
 
< 0.1%
1591234721 1
 
< 0.1%
1591236120 1
 
< 0.1%
1591236870 1
 
< 0.1%
ValueCountFrequency (%)
1593109866 1
< 0.1%
1593109810 1
< 0.1%
1593109537 1
< 0.1%
1593109060 1
< 0.1%
1593109012 1
< 0.1%

risky_first_last_tx_timestamp_diff
Real number (ℝ)

Zeros 

Distinct4766
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50337.93792
Minimum0
Maximum1831356
Zeros37829
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:57.262285image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile376260.75
Maximum1831356
Range1831356
Interquartile range (IQR)0

Descriptive statistics

Standard deviation194319.6666
Coefficient of variation (CV)3.86030248
Kurtosis27.46761492
Mean50337.93792
Median Absolute Deviation (MAD)0
Skewness4.984357689
Sum2229769298
Variance3.776013283 × 1010
MonotonicityNot monotonic
2024-11-28T18:57:57.353377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37829
85.4%
2664 93
 
0.2%
414454 44
 
0.1%
6378 33
 
0.1%
129369 30
 
0.1%
20529 22
 
< 0.1%
672 17
 
< 0.1%
144687 16
 
< 0.1%
160483 15
 
< 0.1%
277041 15
 
< 0.1%
Other values (4756) 6182
 
14.0%
ValueCountFrequency (%)
0 37829
85.4%
9 1
 
< 0.1%
10 1
 
< 0.1%
13 1
 
< 0.1%
24 1
 
< 0.1%
ValueCountFrequency (%)
1831356 1
< 0.1%
1828873 1
< 0.1%
1821917 1
< 0.1%
1816192 1
< 0.1%
1782266 1
< 0.1%

risky_sum_outgoing_amount_eth
Real number (ℝ)

Zeros 

Distinct4387
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean888.8097175
Minimum0
Maximum237072.3303
Zeros37113
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:57.430063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile473.7815868
Maximum237072.3303
Range237072.3303
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10556.79663
Coefficient of variation (CV)11.8774541
Kurtosis314.626366
Mean888.8097175
Median Absolute Deviation (MAD)0
Skewness16.85020833
Sum39370715.25
Variance111445955
MonotonicityNot monotonic
2024-11-28T18:57:57.500160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37113
83.8%
0.4070873806 93
 
0.2%
1 92
 
0.2%
12.87995253 39
 
0.1%
9.887243853 33
 
0.1%
0.1 31
 
0.1%
50 31
 
0.1%
5 30
 
0.1%
10 30
 
0.1%
2 29
 
0.1%
Other values (4377) 6775
 
15.3%
ValueCountFrequency (%)
0 37113
83.8%
7.523720039 × 10-82
 
< 0.1%
2.228373208 × 10-59
 
< 0.1%
8.963865771 × 10-51
 
< 0.1%
9.442603046 × 10-52
 
< 0.1%
ValueCountFrequency (%)
237072.3303 19
< 0.1%
237072.3303 4
 
< 0.1%
231392.2636 1
 
< 0.1%
226684.1359 2
 
< 0.1%
226684.1359 1
 
< 0.1%

outgoing_tx_sum_eth
Real number (ℝ)

Zeros 

Distinct39320
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39736.41054
Minimum0
Maximum4127986.26
Zeros955
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:57.572587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2936321733
Q130.95891065
median420.3039071
Q34195.086245
95-th percentile334374.7844
Maximum4127986.26
Range4127986.26
Interquartile range (IQR)4164.127334

Descriptive statistics

Standard deviation139713.0843
Coefficient of variation (CV)3.515996598
Kurtosis75.86130095
Mean39736.41054
Median Absolute Deviation (MAD)419.2975895
Skewness6.321736192
Sum1760164041
Variance1.951974592 × 1010
MonotonicityNot monotonic
2024-11-28T18:57:57.748413image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 955
 
2.2%
2 163
 
0.4%
1 47
 
0.1%
4.005282899 36
 
0.1%
1511.844559 32
 
0.1%
812975.2523 32
 
0.1%
812975.2523 30
 
0.1%
13.08615452 29
 
0.1%
0.1 29
 
0.1%
48964.17686 25
 
0.1%
Other values (39310) 42918
96.9%
ValueCountFrequency (%)
0 955
2.2%
1.3194455 × 10-111
 
< 0.1%
1.240417919 × 10-101
 
< 0.1%
3 × 10-96
 
< 0.1%
4 × 10-911
 
< 0.1%
ValueCountFrequency (%)
4127986.26 1
< 0.1%
3888373.04 1
< 0.1%
3885383.976 1
< 0.1%
2022684.89 1
< 0.1%
2005020.669 1
< 0.1%

incoming_tx_sum_eth
Real number (ℝ)

Distinct41229
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42285.09101
Minimum0.00681456
Maximum4338561.257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:57.834166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.00681456
5-th percentile1
Q135.35249361
median437.0431007
Q34197.399459
95-th percentile358249.9131
Maximum4338561.257
Range4338561.25
Interquartile range (IQR)4162.046965

Descriptive statistics

Standard deviation147960.1098
Coefficient of variation (CV)3.499108226
Kurtosis70.49239633
Mean42285.09101
Median Absolute Deviation (MAD)434.7588713
Skewness6.027587521
Sum1873060391
Variance2.189219409 × 1010
MonotonicityNot monotonic
2024-11-28T18:57:57.896896image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 95
 
0.2%
0.5 69
 
0.2%
10 67
 
0.2%
27.7863489 62
 
0.1%
2 56
 
0.1%
0.7 39
 
0.1%
24.2897205 37
 
0.1%
820941.886 30
 
0.1%
0.4 27
 
0.1%
1501.619174 25
 
0.1%
Other values (41219) 43789
98.9%
ValueCountFrequency (%)
0.00681456 1
< 0.1%
0.007060817172 1
< 0.1%
0.008 2
< 0.1%
0.01 1
< 0.1%
0.01211456577 1
< 0.1%
ValueCountFrequency (%)
4338561.257 1
< 0.1%
4126915.014 1
< 0.1%
4123870.118 1
< 0.1%
2210189.682 1
< 0.1%
2196035.299 1
< 0.1%

outgoing_tx_avg_eth
Real number (ℝ)

Skewed  Zeros 

Distinct43140
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.3763853
Minimum0
Maximum6373.693328
Zeros955
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:57.975176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003680386034
Q10.1536304625
median0.9982502499
Q36.75105424
95-th percentile46.58083919
Maximum6373.693328
Range6373.693328
Interquartile range (IQR)6.597423777

Descriptive statistics

Standard deviation143.0953994
Coefficient of variation (CV)7.385040976
Kurtosis605.7749597
Mean19.3763853
Median Absolute Deviation (MAD)0.9820473851
Skewness20.76867247
Sum858296.3633
Variance20476.29333
MonotonicityNot monotonic
2024-11-28T18:57:58.057117image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 955
 
2.2%
0.1 12
 
< 0.1%
0.1666666667 12
 
< 0.1%
0.125 11
 
< 0.1%
0.2 9
 
< 0.1%
0.02 8
 
< 0.1%
0.05 8
 
< 0.1%
0.04 7
 
< 0.1%
0.06666666667 5
 
< 0.1%
0.001666666667 5
 
< 0.1%
Other values (43130) 43264
97.7%
ValueCountFrequency (%)
0 955
2.2%
4.213897434 × 10-141
 
< 0.1%
4.291231583 × 10-141
 
< 0.1%
4.291906894 × 10-141
 
< 0.1%
4.330066539 × 10-141
 
< 0.1%
ValueCountFrequency (%)
6373.693328 1
< 0.1%
6343.142518 1
< 0.1%
6206.173464 1
< 0.1%
6203.155786 1
< 0.1%
4808.216043 1
< 0.1%

incoming_tx_avg_eth
Real number (ℝ)

Skewed 

Distinct44065
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.0539983
Minimum0.0003428598902
Maximum6373.270596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:58.116089image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.0003428598902
5-th percentile0.01160826492
Q10.1778753892
median1.065115111
Q36.907716042
95-th percentile48.2675464
Maximum6373.270596
Range6373.270253
Interquartile range (IQR)6.729840653

Descriptive statistics

Standard deviation146.7660031
Coefficient of variation (CV)7.318540717
Kurtosis569.1779033
Mean20.0539983
Median Absolute Deviation (MAD)1.035737032
Skewness20.23338444
Sum888311.9087
Variance21540.25967
MonotonicityNot monotonic
2024-11-28T18:57:58.198630image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 13
 
< 0.1%
0.2 12
 
< 0.1%
0.5 12
 
< 0.1%
2.5 11
 
< 0.1%
1 8
 
< 0.1%
2 8
 
< 0.1%
0.25 8
 
< 0.1%
0.0125 8
 
< 0.1%
0.025 8
 
< 0.1%
1.666666667 7
 
< 0.1%
Other values (44055) 44201
99.8%
ValueCountFrequency (%)
0.0003428598902 1
< 0.1%
0.0003512682946 1
< 0.1%
0.0003523071486 1
< 0.1%
0.0003536866293 1
< 0.1%
0.0003612199755 1
< 0.1%
ValueCountFrequency (%)
6373.270596 1
< 0.1%
6342.759887 1
< 0.1%
6205.782037 1
< 0.1%
6202.785632 1
< 0.1%
4809.869455 1
< 0.1%

max_eth_ever
Real number (ℝ)

Zeros 

Distinct9095
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1352.037604
Minimum0
Maximum242314.8764
Zeros2036
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:58.274673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.005909444071
Q11.746527985
median21.61935999
Q3219.4313661
95-th percentile6223.887867
Maximum242314.8764
Range242314.8764
Interquartile range (IQR)217.6848381

Descriptive statistics

Standard deviation7807.540545
Coefficient of variation (CV)5.774647481
Kurtosis321.771387
Mean1352.037604
Median Absolute Deviation (MAD)21.57014226
Skewness15.58492334
Sum59889857.71
Variance60957689.36
MonotonicityNot monotonic
2024-11-28T18:57:58.348624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2036
 
4.6%
6223.887867 1619
 
3.7%
5160.88575 819
 
1.8%
83.35362699 410
 
0.9%
152.9956672 401
 
0.9%
15.85595913 244
 
0.6%
53.9875197 229
 
0.5%
7.342350363 204
 
0.5%
2.456612399 199
 
0.4%
1.023900143 171
 
0.4%
Other values (9085) 37964
85.7%
ValueCountFrequency (%)
0 2036
4.6%
1 × 10-61
 
< 0.1%
4.2 × 10-64
 
< 0.1%
4.543428389 × 10-52
 
< 0.1%
7.659 × 10-53
 
< 0.1%
ValueCountFrequency (%)
242314.8764 2
 
< 0.1%
237888.7492 3
 
< 0.1%
237369.1935 5
 
< 0.1%
143475.9598 7
 
< 0.1%
142696.5793 21
< 0.1%

min_eth_ever
Real number (ℝ)

Skewed  Zeros 

Distinct7822
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.91934532
Minimum0
Maximum51541.24823
Zeros2036
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:58.423515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.177343791 × 10-9
Q10.0021139085
median0.0165138243
Q30.1227708547
95-th percentile4.995
Maximum51541.24823
Range51541.24823
Interquartile range (IQR)0.1206569462

Descriptive statistics

Standard deviation617.5584277
Coefficient of variation (CV)22.94106414
Kurtosis3799.644731
Mean26.91934532
Median Absolute Deviation (MAD)0.0164541243
Skewness54.49696723
Sum1192419.32
Variance381378.4116
MonotonicityNot monotonic
2024-11-28T18:57:58.496486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009640362 2467
 
5.6%
0 2036
 
4.6%
0.07956054473 410
 
0.9%
0.02457775878 379
 
0.9%
0.07138750429 296
 
0.7%
0.0003860614193 252
 
0.6%
3.833509906 223
 
0.5%
0.01 210
 
0.5%
0.05 207
 
0.5%
0.0006526378521 205
 
0.5%
Other values (7812) 37611
84.9%
ValueCountFrequency (%)
0 2036
4.6%
3.390889 × 10-212
 
< 0.1%
5.63562776 × 10-204
 
< 0.1%
2.352689978 × 10-191
 
< 0.1%
4.085859747 × 10-194
 
< 0.1%
ValueCountFrequency (%)
51541.24823 3
< 0.1%
24154.41241 1
 
< 0.1%
24153.17058 2
< 0.1%
24092.84983 2
< 0.1%
24092.69712 1
 
< 0.1%

total_balance_eth
Real number (ℝ)

Skewed  Zeros 

Distinct24180
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.9493646
Minimum0
Maximum75639.45755
Zeros2036
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:58.566888image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0004210991988
Q10.1397018972
median0.9594437433
Q311.58561602
95-th percentile353.4171739
Maximum75639.45755
Range75639.45755
Interquartile range (IQR)11.44591413

Descriptive statistics

Standard deviation1418.760472
Coefficient of variation (CV)10.06574578
Kurtosis1388.462358
Mean140.9493646
Median Absolute Deviation (MAD)0.9465433783
Skewness32.91135777
Sum6243493.054
Variance2012881.277
MonotonicityNot monotonic
2024-11-28T18:57:58.647057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2036
 
4.6%
0.2224431328 81
 
0.2%
0.2815717817 66
 
0.1%
4.745444818 45
 
0.1%
0.2187833002 41
 
0.1%
90.53542225 40
 
0.1%
0.3600779679 40
 
0.1%
0.4739792433 39
 
0.1%
4074.464184 37
 
0.1%
1.871296572 37
 
0.1%
Other values (24170) 41834
94.4%
ValueCountFrequency (%)
0 2036
4.6%
4.95602919 × 10-191
 
< 0.1%
5.893729408 × 10-92
 
< 0.1%
1.681266239 × 10-73
 
< 0.1%
3.495330875 × 10-71
 
< 0.1%
ValueCountFrequency (%)
75639.45755 2
 
< 0.1%
71620.37586 1
 
< 0.1%
70307.64312 1
 
< 0.1%
64196.79466 5
< 0.1%
59383.06278 1
 
< 0.1%

risk_factor
Real number (ℝ)

Distinct31402
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4361021189
Minimum2.056329347 × 10-20
Maximum1.014911007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:58.731163image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.056329347 × 10-20
5-th percentile1 × 10-6
Q11 × 10-6
median0.4970732942
Q30.7607148381
95-th percentile0.9534537415
Maximum1.014911007
Range1.014911007
Interquartile range (IQR)0.7607138381

Descriptive statistics

Standard deviation0.3593211599
Coefficient of variation (CV)0.8239381199
Kurtosis-1.549320863
Mean0.4361021189
Median Absolute Deviation (MAD)0.3556759279
Skewness-0.03608414019
Sum19317.57946
Variance0.129111696
MonotonicityNot monotonic
2024-11-28T18:57:58.805718image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 × 10-612713
28.7%
4.145761797 × 10-57
 
< 0.1%
0.5174044059 6
 
< 0.1%
0.8530932673 6
 
< 0.1%
0.8989560458 6
 
< 0.1%
0.8389291268 6
 
< 0.1%
0.9874408624 5
 
< 0.1%
0.9631139127 5
 
< 0.1%
0.7793498955 5
 
< 0.1%
0.9989472551 5
 
< 0.1%
Other values (31392) 31532
71.2%
ValueCountFrequency (%)
2.056329347 × 10-201
< 0.1%
1.479543333 × 10-191
< 0.1%
8.894586539 × 10-191
< 0.1%
8.894586539 × 10-191
< 0.1%
8.89719922 × 10-191
< 0.1%
ValueCountFrequency (%)
1.014911007 1
< 0.1%
1.009889651 1
< 0.1%
1.009417236 1
< 0.1%
1.008434089 1
< 0.1%
1.007369422 1
< 0.1%

total_collateral_eth
Real number (ℝ)

Zeros 

Distinct38220
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2160.005909
Minimum0
Maximum460494.4503
Zeros977
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:58.876433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0265946368
Q12.756808153
median34.24574223
Q3364.3340804
95-th percentile7409.716643
Maximum460494.4503
Range460494.4503
Interquartile range (IQR)361.5772723

Descriptive statistics

Standard deviation14861.08665
Coefficient of variation (CV)6.880113888
Kurtosis372.2686703
Mean2160.005909
Median Absolute Deviation (MAD)34.13740653
Skewness17.18998352
Sum95679621.76
Variance220851896.6
MonotonicityNot monotonic
2024-11-28T18:57:58.948655image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 977
 
2.2%
4260.217116 80
 
0.2%
23.53995296 74
 
0.2%
4256.172049 67
 
0.2%
4238.99734 64
 
0.1%
4271.722072 63
 
0.1%
4339.097307 60
 
0.1%
4243.58579 59
 
0.1%
4226.947446 47
 
0.1%
4254.734073 43
 
0.1%
Other values (38210) 42762
96.5%
ValueCountFrequency (%)
0 977
2.2%
1.066669356 × 10-111
 
< 0.1%
9.319269632 × 10-111
 
< 0.1%
1.0163832 × 10-101
 
< 0.1%
1.05017339 × 10-101
 
< 0.1%
ValueCountFrequency (%)
460494.4503 1
< 0.1%
459504.848 1
< 0.1%
455232.2292 1
< 0.1%
451011.6513 1
< 0.1%
450965.6084 1
< 0.1%

total_collateral_avg_eth
Real number (ℝ)

Zeros 

Distinct36828
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1636.67201
Minimum0
Maximum304779.8994
Zeros6882
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:59.011562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8701732766
median21.42007043
Q3260.3575709
95-th percentile8380.644246
Maximum304779.8994
Range304779.8994
Interquartile range (IQR)259.4873977

Descriptive statistics

Standard deviation9434.313985
Coefficient of variation (CV)5.76432781
Kurtosis368.84973
Mean1636.67201
Median Absolute Deviation (MAD)21.42007043
Skewness16.99470207
Sum72498023.37
Variance89006280.37
MonotonicityNot monotonic
2024-11-28T18:57:59.077901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6882
 
15.5%
0.07537242074 28
 
0.1%
4.280282668 16
 
< 0.1%
2.140141332 15
 
< 0.1%
0.428028263 9
 
< 0.1%
0.1631429767 8
 
< 0.1%
0.7663868065 8
 
< 0.1%
0.02162601292 7
 
< 0.1%
42.80282672 7
 
< 0.1%
2.063256759 7
 
< 0.1%
Other values (36818) 37309
84.2%
ValueCountFrequency (%)
0 6882
15.5%
1.03344938 × 10-101
 
< 0.1%
1.106779493 × 10-101
 
< 0.1%
1.234162957 × 10-101
 
< 0.1%
1.249433188 × 10-101
 
< 0.1%
ValueCountFrequency (%)
304779.8994 1
< 0.1%
301159.0214 1
< 0.1%
297916.9076 1
< 0.1%
285086.5173 1
< 0.1%
280347.1147 1
< 0.1%

total_available_borrows_eth
Real number (ℝ)

Zeros 

Distinct41662
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean505.8818492
Minimum-7.828282424
Maximum117743.0199
Zeros978
Zeros (%)2.2%
Negative43
Negative (%)0.1%
Memory size346.2 KiB
2024-11-28T18:57:59.156463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-7.828282424
5-th percentile0.006464139055
Q10.8466460206
median10.97747477
Q392.53611129
95-th percentile2009.250074
Maximum117743.0199
Range117750.8482
Interquartile range (IQR)91.68946527

Descriptive statistics

Standard deviation3625.509005
Coefficient of variation (CV)7.166710982
Kurtosis387.1514139
Mean505.8818492
Median Absolute Deviation (MAD)10.93388887
Skewness17.84858481
Sum22408542.39
Variance13144315.54
MonotonicityNot monotonic
2024-11-28T18:57:59.271796image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 978
 
2.2%
3195.162837 80
 
0.2%
3192.129037 67
 
0.2%
3179.248005 64
 
0.1%
3203.791554 63
 
0.1%
3254.32298 60
 
0.1%
3182.689342 59
 
0.1%
3170.210585 47
 
0.1%
3191.050555 43
 
0.1%
3183.230753 38
 
0.1%
Other values (41652) 42797
96.6%
ValueCountFrequency (%)
-7.828282424 1
< 0.1%
-0.2510856544 1
< 0.1%
-0.001206131846 1
< 0.1%
-0.0009528762103 1
< 0.1%
-0.000951364263 1
< 0.1%
ValueCountFrequency (%)
117743.0199 1
< 0.1%
106752.9262 1
< 0.1%
104687.6677 1
< 0.1%
99231.36683 1
< 0.1%
96848.61598 1
< 0.1%

total_available_borrows_avg_eth
Real number (ℝ)

Zeros 

Distinct37125
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean379.2109207
Minimum0
Maximum79870.80119
Zeros6882
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:59.455715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2308575249
median6.402175667
Q385.45850372
95-th percentile1864.275361
Maximum79870.80119
Range79870.80119
Interquartile range (IQR)85.2276462

Descriptive statistics

Standard deviation2172.093918
Coefficient of variation (CV)5.727930816
Kurtosis354.8883572
Mean379.2109207
Median Absolute Deviation (MAD)6.402175667
Skewness16.47826861
Sum16797526.94
Variance4717991.99
MonotonicityNot monotonic
2024-11-28T18:57:59.615364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6882
 
15.5%
0.05652931556 28
 
0.1%
3.210212001 10
 
< 0.1%
0.3514231153 10
 
< 0.1%
1.605105999 10
 
< 0.1%
0.3210211972 7
 
< 0.1%
32.10212004 6
 
< 0.1%
599.1621682 6
 
< 0.1%
589.0087711 5
 
< 0.1%
0.04044886492 5
 
< 0.1%
Other values (37115) 37327
84.3%
ValueCountFrequency (%)
0 6882
15.5%
2.746410216 × 10-111
 
< 0.1%
2.974452796 × 10-111
 
< 0.1%
3.359824855 × 10-111
 
< 0.1%
3.37418504 × 10-111
 
< 0.1%
ValueCountFrequency (%)
79870.80119 1
< 0.1%
74167.25135 1
< 0.1%
65677.4793 1
< 0.1%
54192.72312 1
< 0.1%
54142.68042 1
< 0.1%

avg_weighted_risk_factor
Real number (ℝ)

Zeros 

Distinct33815
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean645.5118573
Minimum0
Maximum102122.0962
Zeros10288
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:57:59.928936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0006053037487
median2.148699873
Q336.48767218
95-th percentile5241.824852
Maximum102122.0962
Range102122.0962
Interquartile range (IQR)36.48706687

Descriptive statistics

Standard deviation3694.379089
Coefficient of variation (CV)5.723177734
Kurtosis355.0086224
Mean645.5118573
Median Absolute Deviation (MAD)2.148699873
Skewness16.65279683
Sum28593593.23
Variance13648436.85
MonotonicityNot monotonic
2024-11-28T18:58:00.079433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10288
 
23.2%
0.09626214259 9
 
< 0.1%
21.03606238 6
 
< 0.1%
93.99848143 6
 
< 0.1%
155.6786708 5
 
< 0.1%
71.11671522 5
 
< 0.1%
831.0208267 5
 
< 0.1%
1.207284545 4
 
< 0.1%
128.1122826 4
 
< 0.1%
303.7995415 4
 
< 0.1%
Other values (33805) 33960
76.7%
ValueCountFrequency (%)
0 10288
23.2%
1.109093986 × 10-391
 
< 0.1%
3.374486287 × 10-261
 
< 0.1%
3.468222018 × 10-261
 
< 0.1%
1.639978913 × 10-221
 
< 0.1%
ValueCountFrequency (%)
102122.0962 1
< 0.1%
100851.517 1
< 0.1%
100136.9745 1
< 0.1%
95370.42454 1
< 0.1%
95355.01576 1
< 0.1%
Distinct6588
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57412.37484
Minimum0
Maximum3125567
Zeros24930
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:00.238844image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q399
95-th percentile56237.5
Maximum3125567
Range3125567
Interquartile range (IQR)99

Descriptive statistics

Standard deviation320119.5437
Coefficient of variation (CV)5.575793451
Kurtosis46.69342598
Mean57412.37484
Median Absolute Deviation (MAD)0
Skewness6.653276473
Sum2543138556
Variance1.024765222 × 1011
MonotonicityNot monotonic
2024-11-28T18:58:00.416381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24930
56.3%
1 674
 
1.5%
2 487
 
1.1%
3 483
 
1.1%
6 351
 
0.8%
4 351
 
0.8%
5 276
 
0.6%
10 261
 
0.6%
8 231
 
0.5%
7 214
 
0.5%
Other values (6578) 16038
36.2%
ValueCountFrequency (%)
0 24930
56.3%
1 674
 
1.5%
2 487
 
1.1%
3 483
 
1.1%
4 351
 
0.8%
ValueCountFrequency (%)
3125567 1
< 0.1%
3122927 1
< 0.1%
3120288 1
< 0.1%
3117650 1
< 0.1%
3115015 1
< 0.1%

avg_risk_factor
Real number (ℝ)

Zeros 

Distinct33887
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3984143016
Minimum0
Maximum0.9668493448
Zeros6882
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:00.581861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.005150153289
median0.4316003481
Q30.6687586768
95-th percentile0.8956310883
Maximum0.9668493448
Range0.9668493448
Interquartile range (IQR)0.6636085235

Descriptive statistics

Standard deviation0.3170498215
Coefficient of variation (CV)0.7957792184
Kurtosis-1.386591152
Mean0.3984143016
Median Absolute Deviation (MAD)0.3048555007
Skewness0.03807814282
Sum17648.1599
Variance0.1005205893
MonotonicityNot monotonic
2024-11-28T18:58:00.737102image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6882
 
15.5%
1 × 10-62320
 
5.2%
1 × 10-6138
 
0.3%
1 × 10-6117
 
0.3%
1 × 10-6115
 
0.3%
1 × 10-6108
 
0.2%
1 × 10-693
 
0.2%
1 × 10-692
 
0.2%
1 × 10-677
 
0.2%
1 × 10-658
 
0.1%
Other values (33877) 34296
77.4%
ValueCountFrequency (%)
0 6882
15.5%
2.564348132 × 10-81
 
< 0.1%
5.472195968 × 10-81
 
< 0.1%
8.333338999 × 10-81
 
< 0.1%
1.069614835 × 10-71
 
< 0.1%
ValueCountFrequency (%)
0.9668493448 1
< 0.1%
0.9648935303 1
< 0.1%
0.9639651787 1
< 0.1%
0.9629866656 1
< 0.1%
0.9619538587 1
< 0.1%

max_risk_factor
Real number (ℝ)

Zeros 

Distinct8637
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.623548621
Minimum0
Maximum4.863938236
Zeros6882
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:00.909792image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.09874198498
median0.795976211
Q30.9450688549
95-th percentile1.001917128
Maximum4.863938236
Range4.863938236
Interquartile range (IQR)0.84632687

Descriptive statistics

Standard deviation0.4103010048
Coefficient of variation (CV)0.658009642
Kurtosis6.377818159
Mean0.623548621
Median Absolute Deviation (MAD)0.1902056734
Skewness0.1390773414
Sum27620.70972
Variance0.1683469146
MonotonicityNot monotonic
2024-11-28T18:58:01.016654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6882
 
15.5%
1 × 10-63526
 
8.0%
0.9988817147 1272
 
2.9%
1.080500473 729
 
1.6%
0.9845311377 303
 
0.7%
0.9998215961 188
 
0.4%
0.9998049769 187
 
0.4%
0.9977876165 182
 
0.4%
0.4482566468 180
 
0.4%
0.90511647 172
 
0.4%
Other values (8627) 30675
69.3%
ValueCountFrequency (%)
0 6882
15.5%
1 × 10-63526
8.0%
1.074105968 × 10-61
 
< 0.1%
1.187512438 × 10-61
 
< 0.1%
1.1900306 × 10-61
 
< 0.1%
ValueCountFrequency (%)
4.863938236 30
0.1%
2.498320617 3
 
< 0.1%
1.861010407 3
 
< 0.1%
1.734360826 12
 
< 0.1%
1.560808254 4
 
< 0.1%

borrow_amount_sum_eth
Real number (ℝ)

Zeros 

Distinct34824
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7218.026172
Minimum0
Maximum798728.055
Zeros7090
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:01.145684image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7141329358
median31.39691459
Q3528.7362383
95-th percentile66087.33101
Maximum798728.055
Range798728.055
Interquartile range (IQR)528.0221053

Descriptive statistics

Standard deviation27399.78646
Coefficient of variation (CV)3.796022044
Kurtosis53.95588694
Mean7218.026172
Median Absolute Deviation (MAD)31.39691459
Skewness5.796002134
Sum319729687.3
Variance750748298.2
MonotonicityNot monotonic
2024-11-28T18:58:01.339732image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7090
 
16.0%
66087.33101 195
 
0.4%
1 57
 
0.1%
202.3340257 53
 
0.1%
65929.93522 41
 
0.1%
146.2621397 36
 
0.1%
0.1 32
 
0.1%
0.5 32
 
0.1%
1141.367841 29
 
0.1%
2 29
 
0.1%
Other values (34814) 36702
82.9%
ValueCountFrequency (%)
0 7090
16.0%
1.0646888 × 10-191
 
< 0.1%
1.193810516 × 10-151
 
< 0.1%
9.333972 × 10-131
 
< 0.1%
4.301813891 × 10-122
 
< 0.1%
ValueCountFrequency (%)
798728.055 1
< 0.1%
543317.2595 1
< 0.1%
436516.5487 1
< 0.1%
419994.0621 1
< 0.1%
409824.7357 1
< 0.1%

borrow_amount_avg_eth
Real number (ℝ)

Zeros 

Distinct35723
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.4632741
Minimum0
Maximum38221.00062
Zeros7090
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:01.519511image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1648274075
median3.13029245
Q334.22593823
95-th percentile289.2501065
Maximum38221.00062
Range38221.00062
Interquartile range (IQR)34.06111083

Descriptive statistics

Standard deviation800.3867855
Coefficient of variation (CV)7.180722011
Kurtosis484.2490397
Mean111.4632741
Median Absolute Deviation (MAD)3.13029245
Skewness18.64879345
Sum4937377.188
Variance640619.0064
MonotonicityNot monotonic
2024-11-28T18:58:01.716094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7090
 
16.0%
1 59
 
0.1%
2.089459138 38
 
0.1%
0.5 31
 
0.1%
0.1 31
 
0.1%
5 29
 
0.1%
10 28
 
0.1%
2 27
 
0.1%
0.1768797498 23
 
0.1%
0.25 18
 
< 0.1%
Other values (35713) 36922
83.4%
ValueCountFrequency (%)
0 7090
16.0%
1.0646888 × 10-191
 
< 0.1%
1.193810516 × 10-151
 
< 0.1%
9.333972 × 10-131
 
< 0.1%
4.301813891 × 10-122
 
< 0.1%
ValueCountFrequency (%)
38221.00062 1
< 0.1%
30083.67636 1
< 0.1%
29831.34539 1
< 0.1%
29608.94159 1
< 0.1%
25456.45637 1
< 0.1%

borrow_count
Real number (ℝ)

Zeros 

Distinct2466
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.48130757
Minimum0
Maximum4598
Zeros6788
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:01.860452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q333
95-th percentile362
Maximum4598
Range4598
Interquartile range (IQR)31

Descriptive statistics

Standard deviation329.6587831
Coefficient of variation (CV)3.526467395
Kurtosis27.54985612
Mean93.48130757
Median Absolute Deviation (MAD)8
Skewness5.137771353
Sum4140848
Variance108674.9133
MonotonicityNot monotonic
2024-11-28T18:58:02.033775image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6788
 
15.3%
1 3830
 
8.6%
2 2994
 
6.8%
3 2186
 
4.9%
4 1895
 
4.3%
5 1516
 
3.4%
6 1373
 
3.1%
7 1098
 
2.5%
8 1046
 
2.4%
9 870
 
2.0%
Other values (2456) 20700
46.7%
ValueCountFrequency (%)
0 6788
15.3%
1 3830
8.6%
2 2994
6.8%
3 2186
 
4.9%
4 1895
 
4.3%
ValueCountFrequency (%)
4598 1
< 0.1%
4068 1
< 0.1%
3630 1
< 0.1%
2472 1
< 0.1%
2471 1
< 0.1%

repay_amount_sum_eth
Real number (ℝ)

Zeros 

Distinct13419
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3838.185678
Minimum0
Maximum356426.6373
Zeros14864
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:02.214060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.546839499
Q3211.873208
95-th percentile37997.74058
Maximum356426.6373
Range356426.6373
Interquartile range (IQR)211.873208

Descriptive statistics

Standard deviation15591.20293
Coefficient of variation (CV)4.06212837
Kurtosis80.11756299
Mean3838.185678
Median Absolute Deviation (MAD)4.546839499
Skewness7.410925538
Sum170016272.8
Variance243085608.9
MonotonicityNot monotonic
2024-11-28T18:58:02.370569image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14864
33.6%
37997.74058 154
 
0.3%
3.9035625 145
 
0.3%
37781.32838 84
 
0.2%
3.793405196 78
 
0.2%
45569.46017 56
 
0.1%
1.762020349 48
 
0.1%
195.0266298 47
 
0.1%
10525.26338 41
 
0.1%
75.39331867 39
 
0.1%
Other values (13409) 28740
64.9%
ValueCountFrequency (%)
0 14864
33.6%
8.602746 × 10-2128
 
0.1%
1.7205492 × 10-201
 
< 0.1%
7.100423565 × 10-131
 
< 0.1%
8.278695692 × 10-132
 
< 0.1%
ValueCountFrequency (%)
356426.6373 1
 
< 0.1%
322347.4857 1
 
< 0.1%
250860.977 6
< 0.1%
244508.0358 1
 
< 0.1%
239455.5871 1
 
< 0.1%

repay_amount_avg_eth
Real number (ℝ)

Skewed  Zeros 

Distinct13498
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.7431002
Minimum0
Maximum50334.93155
Zeros14864
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:02.526651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.7247279051
Q315.43093153
95-th percentile210.9351924
Maximum50334.93155
Range50334.93155
Interquartile range (IQR)15.43093153

Descriptive statistics

Standard deviation904.4202731
Coefficient of variation (CV)10.07788087
Kurtosis1040.688003
Mean89.7431002
Median Absolute Deviation (MAD)0.7247279051
Skewness26.94723168
Sum3975260.366
Variance817976.0303
MonotonicityNot monotonic
2024-11-28T18:58:02.687746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14864
33.6%
0.2439726562 114
 
0.3%
1.264468399 78
 
0.2%
43.52383971 56
 
0.1%
0.5873401165 48
 
0.1%
32.5044383 47
 
0.1%
61.91331402 41
 
0.1%
1.570694139 39
 
0.1%
5.516328477 38
 
0.1%
0.2264253992 38
 
0.1%
Other values (13488) 28933
65.3%
ValueCountFrequency (%)
0 14864
33.6%
8.602746 × 10-2129
 
0.1%
4.733096342 × 10-132
 
< 0.1%
7.100423565 × 10-131
 
< 0.1%
8.278695692 × 10-132
 
< 0.1%
ValueCountFrequency (%)
50334.93155 3
< 0.1%
43523.486 1
 
< 0.1%
31117.16571 1
 
< 0.1%
28789.1597 1
 
< 0.1%
27452.62855 2
< 0.1%

repay_count
Real number (ℝ)

Zeros 

Distinct839
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.39768828
Minimum0
Maximum3176
Zeros14613
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:02.826598image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320
95-th percentile297
Maximum3176
Range3176
Interquartile range (IQR)20

Descriptive statistics

Standard deviation228.6984485
Coefficient of variation (CV)3.444373659
Kurtosis23.89781722
Mean66.39768828
Median Absolute Deviation (MAD)3
Skewness4.788126599
Sum2941152
Variance52302.98034
MonotonicityNot monotonic
2024-11-28T18:58:02.998714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14613
33.0%
1 3858
 
8.7%
2 2564
 
5.8%
3 1698
 
3.8%
4 1397
 
3.2%
5 1280
 
2.9%
6 1050
 
2.4%
7 881
 
2.0%
8 824
 
1.9%
9 671
 
1.5%
Other values (829) 15460
34.9%
ValueCountFrequency (%)
0 14613
33.0%
1 3858
 
8.7%
2 2564
 
5.8%
3 1698
 
3.8%
4 1397
 
3.2%
ValueCountFrequency (%)
3176 1
 
< 0.1%
2462 1
 
< 0.1%
2254 1
 
< 0.1%
1721 3
< 0.1%
1720 2
< 0.1%

borrow_repay_diff_eth
Real number (ℝ)

Zeros 

Distinct30321
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3459.974148
Minimum0
Maximum442301.4177
Zeros12448
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:03.141919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.552799806
Q3104.3647089
95-th percentile28073.05851
Maximum442301.4177
Range442301.4177
Interquartile range (IQR)104.3647089

Descriptive statistics

Standard deviation14547.52939
Coefficient of variation (CV)4.204519678
Kurtosis61.31131861
Mean3459.974148
Median Absolute Deviation (MAD)4.552799806
Skewness6.257875391
Sum153263014.8
Variance211630611.3
MonotonicityNot monotonic
2024-11-28T18:58:03.250631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12448
 
28.1%
28089.59043 154
 
0.3%
28148.60684 41
 
0.1%
28306.00263 39
 
0.1%
70.86882101 35
 
0.1%
1 23
 
0.1%
0.1 18
 
< 0.1%
0.5 17
 
< 0.1%
0.01178958157 16
 
< 0.1%
829.6367183 15
 
< 0.1%
Other values (30311) 31490
71.1%
ValueCountFrequency (%)
0 12448
28.1%
1.0646888 × 10-191
 
< 0.1%
3.469446952 × 10-181
 
< 0.1%
6.938893904 × 10-181
 
< 0.1%
1.387778781 × 10-171
 
< 0.1%
ValueCountFrequency (%)
442301.4177 1
< 0.1%
303861.6724 1
< 0.1%
239726.9694 1
< 0.1%
221332.1688 1
< 0.1%
218114.1462 1
< 0.1%

deposit_count
Real number (ℝ)

Zeros 

Distinct2068
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.6869243
Minimum0
Maximum6038
Zeros1317
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:03.390427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median11
Q338
95-th percentile447
Maximum6038
Range6038
Interquartile range (IQR)35

Descriptive statistics

Standard deviation356.8003095
Coefficient of variation (CV)3.474642092
Kurtosis49.89895676
Mean102.6869243
Median Absolute Deviation (MAD)9
Skewness6.082611093
Sum4548620
Variance127306.4609
MonotonicityNot monotonic
2024-11-28T18:58:03.544579image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4066
 
9.2%
2 3244
 
7.3%
3 2469
 
5.6%
4 2195
 
5.0%
5 1944
 
4.4%
6 1708
 
3.9%
7 1531
 
3.5%
0 1317
 
3.0%
8 1205
 
2.7%
9 1088
 
2.5%
Other values (2058) 23529
53.1%
ValueCountFrequency (%)
0 1317
 
3.0%
1 4066
9.2%
2 3244
7.3%
3 2469
5.6%
4 2195
5.0%
ValueCountFrequency (%)
6038 1
< 0.1%
6036 1
< 0.1%
6034 1
< 0.1%
5969 1
< 0.1%
5955 1
< 0.1%

deposit_amount_sum_eth
Real number (ℝ)

Zeros 

Distinct29979
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12489.57991
Minimum0
Maximum1190589.945
Zeros1511
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:03.692980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0263236223
Q16.565267416
median96.61797234
Q31253.290805
95-th percentile100499.5066
Maximum1190589.945
Range1190589.945
Interquartile range (IQR)1246.725538

Descriptive statistics

Standard deviation48310.35852
Coefficient of variation (CV)3.868053119
Kurtosis131.0160835
Mean12489.57991
Median Absolute Deviation (MAD)96.51463267
Skewness8.649997787
Sum553238431.7
Variance2333890741
MonotonicityNot monotonic
2024-11-28T18:58:03.847617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1511
 
3.4%
1 264
 
0.6%
0.1 121
 
0.3%
2 86
 
0.2%
0.01 66
 
0.1%
100 61
 
0.1%
10 51
 
0.1%
0.5 50
 
0.1%
131.0870111 48
 
0.1%
50 48
 
0.1%
Other values (29969) 41990
94.8%
ValueCountFrequency (%)
0 1511
3.4%
1.3194455 × 10-111
 
< 0.1%
1.2330198 × 10-101
 
< 0.1%
1.294720398 × 10-81
 
< 0.1%
1.295877924 × 10-81
 
< 0.1%
ValueCountFrequency (%)
1190589.945 1
< 0.1%
1184003.945 1
< 0.1%
1177417.945 1
< 0.1%
1170831.945 1
< 0.1%
1164245.945 1
< 0.1%

time_since_first_deposit
Real number (ℝ)

Zeros 

Distinct40853
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7700642.518
Minimum0
Maximum35670871
Zeros1317
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:03.996578image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile223
Q1210589
median3184616
Q313516500.25
95-th percentile27313484.25
Maximum35670871
Range35670871
Interquartile range (IQR)13305911.25

Descriptive statistics

Standard deviation9299791.966
Coefficient of variation (CV)1.207664418
Kurtosis0.07599137134
Mean7700642.518
Median Absolute Deviation (MAD)3182355.5
Skewness1.12155287
Sum3.41107661 × 1011
Variance8.648613061 × 1013
MonotonicityNot monotonic
2024-11-28T18:58:04.148622image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1317
 
3.0%
176 14
 
< 0.1%
66 13
 
< 0.1%
80 12
 
< 0.1%
234 10
 
< 0.1%
127 10
 
< 0.1%
118 10
 
< 0.1%
120 10
 
< 0.1%
151 9
 
< 0.1%
121 9
 
< 0.1%
Other values (40843) 42882
96.8%
ValueCountFrequency (%)
0 1317
3.0%
18 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
28 1
 
< 0.1%
ValueCountFrequency (%)
35670871 1
< 0.1%
35670081 1
< 0.1%
35574507 1
< 0.1%
35482129 1
< 0.1%
35432968 1
< 0.1%

withdraw_amount_sum_eth
Real number (ℝ)

Zeros 

Distinct12829
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7554.182754
Minimum0
Maximum1411661.526
Zeros11467
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:04.276318image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16.96447848
Q3535.2841041
95-th percentile58427.9476
Maximum1411661.526
Range1411661.526
Interquartile range (IQR)535.2841041

Descriptive statistics

Standard deviation31374.00972
Coefficient of variation (CV)4.153197075
Kurtosis274.1022492
Mean7554.182754
Median Absolute Deviation (MAD)16.96447848
Skewness11.8529532
Sum334620079.3
Variance984328485.9
MonotonicityNot monotonic
2024-11-28T18:58:04.595049image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11467
 
25.9%
101100.4976 139
 
0.3%
3 113
 
0.3%
100543.4976 103
 
0.2%
1.000000021 86
 
0.2%
1 85
 
0.2%
70.9213363 82
 
0.2%
0.5000000032 74
 
0.2%
7.054310327 72
 
0.2%
99087.4476 69
 
0.2%
Other values (12819) 32006
72.3%
ValueCountFrequency (%)
0 11467
25.9%
1.293514557 × 10-111
 
< 0.1%
1.293935107 × 10-83
 
< 0.1%
1.777162081 × 10-71
 
< 0.1%
8.063287992 × 10-71
 
< 0.1%
ValueCountFrequency (%)
1411661.526 1
< 0.1%
959956.1443 1
< 0.1%
955278.9086 1
< 0.1%
818767.3815 1
< 0.1%
812181.3815 1
< 0.1%

withdraw_deposit_diff_if_positive_eth
Real number (ℝ)

Skewed  Zeros 

Distinct1488
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.3734164
Minimum0
Maximum710786.0122
Zeros42002
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:04.741388image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.069053042 × 10-5
Maximum710786.0122
Range710786.0122
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4758.50418
Coefficient of variation (CV)20.56633927
Kurtosis12166.6271
Mean231.3734164
Median Absolute Deviation (MAD)0
Skewness91.9626622
Sum10248916.85
Variance22643362.03
MonotonicityNot monotonic
2024-11-28T18:58:04.926292image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42002
94.8%
866.990308 25
 
0.1%
35.77865935 25
 
0.1%
53.05814474 25
 
0.1%
1017.913866 19
 
< 0.1%
3.415593823 × 10-618
 
< 0.1%
16.88093933 17
 
< 0.1%
34665.99076 14
 
< 0.1%
101.021333 13
 
< 0.1%
22.8197692 13
 
< 0.1%
Other values (1478) 2125
 
4.8%
ValueCountFrequency (%)
0 42002
94.8%
2.345997528 × 10-111
 
< 0.1%
2.561505175 × 10-112
 
< 0.1%
8.038200661 × 10-111
 
< 0.1%
1.348999801 × 10-101
 
< 0.1%
ValueCountFrequency (%)
710786.0122 1
< 0.1%
317744.3413 1
< 0.1%
302010.6308 1
< 0.1%
225209.3154 1
< 0.1%
107107.8631 1
< 0.1%

liquidation_count
Real number (ℝ)

Zeros 

Distinct138
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.432364096
Minimum0
Maximum184
Zeros34327
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:05.044463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45.25
Maximum184
Range184
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.8506308
Coefficient of variation (CV)3.881756925
Kurtosis20.65048279
Mean7.432364096
Median Absolute Deviation (MAD)0
Skewness4.554375258
Sum329224
Variance832.3588975
MonotonicityNot monotonic
2024-11-28T18:58:05.202865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34327
77.5%
1 2806
 
6.3%
2 1077
 
2.4%
3 703
 
1.6%
5 518
 
1.2%
6 420
 
0.9%
4 381
 
0.9%
176 277
 
0.6%
113 232
 
0.5%
7 207
 
0.5%
Other values (128) 3348
 
7.6%
ValueCountFrequency (%)
0 34327
77.5%
1 2806
 
6.3%
2 1077
 
2.4%
3 703
 
1.6%
4 381
 
0.9%
ValueCountFrequency (%)
184 23
0.1%
183 2
 
< 0.1%
182 11
 
< 0.1%
181 46
0.1%
180 46
0.1%
Distinct9811
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean775478393.1
Minimum8
Maximum999999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:05.324820image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile68559.25
Q1999999999
median999999999
Q3999999999
95-th percentile999999999
Maximum999999999
Range999999991
Interquartile range (IQR)0

Descriptive statistics

Standard deviation416638719
Coefficient of variation (CV)0.5372667023
Kurtosis-0.2657992621
Mean775478393.1
Median Absolute Deviation (MAD)0
Skewness-1.316851364
Sum3.43505909 × 1013
Variance1.735878222 × 1017
MonotonicityNot monotonic
2024-11-28T18:58:05.498395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999999999 34327
77.5%
235209 7
 
< 0.1%
3971 5
 
< 0.1%
34732 5
 
< 0.1%
235160 4
 
< 0.1%
475 4
 
< 0.1%
4240 4
 
< 0.1%
17013 4
 
< 0.1%
1539 4
 
< 0.1%
1553 4
 
< 0.1%
Other values (9801) 9928
 
22.4%
ValueCountFrequency (%)
8 1
< 0.1%
14 1
< 0.1%
23 1
< 0.1%
27 1
< 0.1%
33 1
< 0.1%
ValueCountFrequency (%)
999999999 34327
77.5%
29082864 1
 
< 0.1%
28706195 1
 
< 0.1%
28647668 1
 
< 0.1%
28608591 1
 
< 0.1%

liquidation_amount_sum_eth
Real number (ℝ)

Zeros 

Distinct1190
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2374.206031
Minimum0
Maximum84050.81732
Zeros34396
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:05.643615image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8088.760364
Maximum84050.81732
Range84050.81732
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11585.65629
Coefficient of variation (CV)4.879802403
Kurtosis31.58886354
Mean2374.206031
Median Absolute Deviation (MAD)0
Skewness5.563264797
Sum105167830.3
Variance134227431.8
MonotonicityNot monotonic
2024-11-28T18:58:05.808692image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34396
77.7%
79694.65868 277
 
0.6%
17.94394868 256
 
0.6%
37082.51033 232
 
0.5%
5.202872556 187
 
0.4%
28572.2553 185
 
0.4%
31317.57891 141
 
0.3%
23339.75315 121
 
0.3%
19.40241722 119
 
0.3%
460.6897964 96
 
0.2%
Other values (1180) 8286
 
18.7%
ValueCountFrequency (%)
0 34396
77.7%
0.0003739198748 2
 
< 0.1%
0.0005779389125 1
 
< 0.1%
0.0007096587464 1
 
< 0.1%
0.0007977270538 2
 
< 0.1%
ValueCountFrequency (%)
84050.81732 23
0.1%
83552.63744 2
 
< 0.1%
83056.5369 11
 
< 0.1%
82735.10718 46
0.1%
82250.72471 46
0.1%

market_adx
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.7467406
Minimum14.30185391
Maximum61.11108843
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:05.936893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum14.30185391
5-th percentile18.82652609
Q122.44730135
median27.23934127
Q333.4761925
95-th percentile53.37116537
Maximum61.11108843
Range46.80923452
Interquartile range (IQR)11.02889115

Descriptive statistics

Standard deviation10.25697827
Coefficient of variation (CV)0.3448101561
Kurtosis0.8682499297
Mean29.7467406
Median Absolute Deviation (MAD)5.1634667
Skewness1.228419413
Sum1317661.622
Variance105.2056032
MonotonicityNot monotonic
2024-11-28T18:58:06.068165image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.44730135 1634
 
3.7%
22.67753012 1464
 
3.3%
22.04403541 1033
 
2.3%
22.94774288 942
 
2.1%
21.1950096 829
 
1.9%
24.98482289 822
 
1.9%
20.55517325 641
 
1.4%
23.54247891 598
 
1.4%
24.23694082 596
 
1.3%
19.31402189 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
14.30185391 121
0.3%
14.78741281 71
0.2%
15.31032239 86
0.2%
15.7899456 64
 
0.1%
15.94821944 167
0.4%
ValueCountFrequency (%)
61.11108843 207
0.5%
59.96710364 175
0.4%
59.48729734 177
0.4%
58.90483206 205
0.5%
58.50814881 136
0.3%

market_adxr
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.42818847
Minimum17.2811793
Maximum53.51610553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:06.196463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum17.2811793
5-th percentile20.1459218
Q124.99404443
median26.54431618
Q336.0311064
95-th percentile49.80022374
Maximum53.51610553
Range36.23492623
Interquartile range (IQR)11.03706197

Descriptive statistics

Standard deviation8.489055562
Coefficient of variation (CV)0.2789865578
Kurtosis0.3672271425
Mean30.42818847
Median Absolute Deviation (MAD)2.75256315
Skewness1.094950397
Sum1347847.037
Variance72.06406433
MonotonicityNot monotonic
2024-11-28T18:58:06.343553image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.07823538 1634
 
3.7%
25.8937037 1464
 
3.3%
26.20664203 1033
 
2.3%
25.35639971 942
 
2.1%
26.16253844 829
 
1.9%
23.86794392 822
 
1.9%
26.20975024 641
 
1.4%
24.83039569 598
 
1.4%
24.33879559 596
 
1.3%
24.77581117 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
17.2811793 121
0.3%
17.46574366 86
0.2%
17.48082557 71
0.2%
17.76133312 167
0.4%
17.81336931 70
0.2%
ValueCountFrequency (%)
53.51610553 130
0.3%
53.48172871 160
0.4%
53.45774639 110
0.2%
53.30996366 173
0.4%
53.08956028 107
0.2%

market_apo
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.170384564
Minimum-51.46314195
Maximum40.34074822
Zeros0
Zeros (%)0.0%
Negative20600
Negative (%)46.5%
Memory size346.2 KiB
2024-11-28T18:58:06.490468image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-51.46314195
5-th percentile-33.65132728
Q1-7.836265466
median0.711171077
Q311.06635226
95-th percentile27.14280133
Maximum40.34074822
Range91.80389017
Interquartile range (IQR)18.90261773

Descriptive statistics

Standard deviation16.44208439
Coefficient of variation (CV)96.49984718
Kurtosis0.870454943
Mean0.170384564
Median Absolute Deviation (MAD)9.42314461
Skewness-0.4369650083
Sum7547.354646
Variance270.3421389
MonotonicityNot monotonic
2024-11-28T18:58:06.640308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.711171077 1634
 
3.7%
3.052135565 1464
 
3.3%
-1.65745877 1033
 
2.3%
5.507162241 942
 
2.1%
-3.361762511 829
 
1.9%
11.06635226 822
 
1.9%
-3.259820694 641
 
1.4%
7.226602114 598
 
1.4%
8.903991504 596
 
1.3%
-3.983883197 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-51.46314195 102
0.2%
-49.95783395 129
0.3%
-48.29231786 89
0.2%
-47.62056972 110
0.2%
-47.38164241 196
0.4%
ValueCountFrequency (%)
40.34074822 38
 
0.1%
40.21541361 46
 
0.1%
39.35304563 42
 
0.1%
38.17381717 27
 
0.1%
37.72954638 136
0.3%

market_aroonosc
Real number (ℝ)

Distinct62
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.86298738
Minimum-100
Maximum100
Zeros0
Zeros (%)0.0%
Negative21753
Negative (%)49.1%
Memory size346.2 KiB
2024-11-28T18:58:06.750183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-74.44444444
Q1-55.55555556
median52.22222222
Q371.11111111
95-th percentile86.66666667
Maximum100
Range200
Interquartile range (IQR)126.6666667

Descriptive statistics

Standard deviation63.99832688
Coefficient of variation (CV)4.975385966
Kurtosis-1.67504808
Mean12.86298738
Median Absolute Deviation (MAD)45.55555556
Skewness-0.1819444688
Sum569778.8889
Variance4095.785844
MonotonicityNot monotonic
2024-11-28T18:58:06.896966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-30 6299
14.2%
78.88888889 5073
 
11.5%
65.55555556 3944
 
8.9%
67.77777778 2745
 
6.2%
-58.88888889 2387
 
5.4%
71.11111111 1930
 
4.4%
-72.22222222 1869
 
4.2%
-56.66666667 1865
 
4.2%
-55.55555556 1552
 
3.5%
-74.44444444 1543
 
3.5%
Other values (52) 15089
34.1%
ValueCountFrequency (%)
-100 157
0.4%
-98.88888889 320
0.7%
-97.77777778 274
0.6%
-96.66666667 55
 
0.1%
-95.55555556 64
 
0.1%
ValueCountFrequency (%)
100 62
 
0.1%
98.88888889 224
0.5%
97.77777778 192
0.4%
96.66666667 250
0.6%
95.55555556 88
 
0.2%

market_aroonup
Real number (ℝ)

Zeros 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.48287495
Minimum0
Maximum100
Zeros7552
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:07.049736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.142857143
median35.71428571
Q371.42857143
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)64.28571429

Descriptive statistics

Standard deviation34.94395033
Coefficient of variation (CV)0.8225420331
Kurtosis-1.209708078
Mean42.48287495
Median Absolute Deviation (MAD)28.57142857
Skewness0.3912841586
Sum1881821.429
Variance1221.079665
MonotonicityNot monotonic
2024-11-28T18:58:07.159645image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7552
17.0%
100 5761
13.0%
7.142857143 3871
8.7%
14.28571429 3165
7.1%
35.71428571 3120
7.0%
42.85714286 3013
 
6.8%
28.57142857 2929
 
6.6%
21.42857143 2764
 
6.2%
50 2505
 
5.7%
57.14285714 1945
 
4.4%
Other values (5) 7671
17.3%
ValueCountFrequency (%)
0 7552
17.0%
7.142857143 3871
8.7%
14.28571429 3165
7.1%
21.42857143 2764
 
6.2%
28.57142857 2929
 
6.6%
ValueCountFrequency (%)
100 5761
13.0%
92.85714286 1939
 
4.4%
85.71428571 1692
 
3.8%
78.57142857 1167
 
2.6%
71.42857143 1614
 
3.6%

market_atr
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.90339135
Minimum7.93958601
Maximum14.37853259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:07.271653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum7.93958601
5-th percentile8.133969596
Q110.37476275
median10.71057443
Q311.66790475
95-th percentile13.81624945
Maximum14.37853259
Range6.43894658
Interquartile range (IQR)1.293142

Descriptive statistics

Standard deviation1.556719408
Coefficient of variation (CV)0.1427738726
Kurtosis-0.2174120823
Mean10.90339135
Median Absolute Deviation (MAD)0.80693093
Skewness0.1677010797
Sum482976.6234
Variance2.423375316
MonotonicityNot monotonic
2024-11-28T18:58:07.409369image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.45769861 1634
 
3.7%
10.52117393 1464
 
3.3%
10.38445698 1033
 
2.3%
10.57917664 942
 
2.1%
10.43397721 829
 
1.9%
10.71057443 822
 
1.9%
10.37476275 641
 
1.4%
10.63490653 598
 
1.4%
10.6801031 596
 
1.3%
10.43393524 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
7.93958601 146
0.3%
7.985153333 65
 
0.1%
7.990664278 122
0.3%
8.022538746 180
0.4%
8.0237815 137
0.3%
ValueCountFrequency (%)
14.37853259 124
0.3%
14.34212927 155
0.3%
14.32731641 117
0.3%
14.30186824 161
0.4%
14.28850077 134
0.3%

market_cci
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-13.14695662
Minimum-287.4635899
Maximum254.8647083
Zeros0
Zeros (%)0.0%
Negative24647
Negative (%)55.6%
Memory size346.2 KiB
2024-11-28T18:58:07.557824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-287.4635899
5-th percentile-206.0203536
Q1-94.07678802
median-33.78783438
Q386.31773675
95-th percentile169.9453864
Maximum254.8647083
Range542.3282982
Interquartile range (IQR)180.3945248

Descriptive statistics

Standard deviation120.4323154
Coefficient of variation (CV)-9.160471043
Kurtosis-0.8268869811
Mean-13.14695662
Median Absolute Deviation (MAD)88.32956052
Skewness0.05369907187
Sum-582357.5905
Variance14503.9426
MonotonicityNot monotonic
2024-11-28T18:58:07.673407image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-94.07678802 1634
 
3.7%
-113.3455019 1464
 
3.3%
-74.96689412 1033
 
2.3%
-87.67537359 942
 
2.1%
51.44750846 829
 
1.9%
-206.0203536 822
 
1.9%
126.3617282 641
 
1.4%
-88.73275879 598
 
1.4%
-101.1064757 596
 
1.3%
83.88436328 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-287.4635899 160
0.4%
-280.8137562 213
0.5%
-273.6308737 167
0.4%
-271.7227119 57
 
0.1%
-261.1355806 188
0.4%
ValueCountFrequency (%)
254.8647083 188
0.4%
254.0798537 39
 
0.1%
244.4916313 73
 
0.2%
241.3436581 112
0.3%
237.7403009 120
0.3%

market_cmo
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.642515141
Minimum-59.22728125
Maximum79.29449487
Zeros0
Zeros (%)0.0%
Negative22196
Negative (%)50.1%
Memory size346.2 KiB
2024-11-28T18:58:07.800426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-59.22728125
5-th percentile-37.81863405
Q1-19.0483926
median-0.433831195
Q318.00426199
95-th percentile48.17465949
Maximum79.29449487
Range138.5217761
Interquartile range (IQR)37.05265459

Descriptive statistics

Standard deviation26.75861622
Coefficient of variation (CV)16.29124478
Kurtosis-0.02205809912
Mean1.642515141
Median Absolute Deviation (MAD)18.6145614
Skewness0.3883102225
Sum72756.85069
Variance716.0235418
MonotonicityNot monotonic
2024-11-28T18:58:07.917708image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.056518361 1634
 
3.7%
-4.453839039 1464
 
3.3%
-1.51588233 1033
 
2.3%
3.018206589 942
 
2.1%
18.00426199 829
 
1.9%
0.657707444 822
 
1.9%
19.9730079 641
 
1.4%
4.434928734 598
 
1.4%
6.470282624 596
 
1.3%
5.74898073 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-59.22728125 160
0.4%
-58.2284754 213
0.5%
-50.97790103 195
0.4%
-49.54953698 57
 
0.1%
-47.65538017 107
0.2%
ValueCountFrequency (%)
79.29449487 177
0.4%
75.51711931 183
0.4%
74.80395614 169
0.4%
71.32733651 4
 
< 0.1%
69.80306292 153
0.3%

market_correl
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9222991376
Minimum0.547978974
Maximum0.992101877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:08.041707image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.547978974
5-th percentile0.793452838
Q10.909077906
median0.941149818
Q30.962732393
95-th percentile0.982952074
Maximum0.992101877
Range0.444122903
Interquartile range (IQR)0.053654487

Descriptive statistics

Standard deviation0.06736909921
Coefficient of variation (CV)0.07304473837
Kurtosis8.611849741
Mean0.9222991376
Median Absolute Deviation (MAD)0.024264828
Skewness-2.584125049
Sum40854.1626
Variance0.004538595528
MonotonicityNot monotonic
2024-11-28T18:58:08.136130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.936262238 1634
 
3.7%
0.937882152 1464
 
3.3%
0.926325318 1033
 
2.3%
0.941149818 942
 
2.1%
0.91688499 829
 
1.9%
0.947964035 822
 
1.9%
0.904341542 641
 
1.4%
0.942501645 598
 
1.4%
0.944774957 596
 
1.3%
0.878785908 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
0.547978974 80
0.2%
0.551556517 181
0.4%
0.59690948 86
0.2%
0.602995552 119
0.3%
0.639661848 191
0.4%
ValueCountFrequency (%)
0.992101877 142
0.3%
0.991652355 136
0.3%
0.991521364 110
0.2%
0.990702511 107
0.2%
0.99037543 205
0.5%

market_dx
Real number (ℝ)

Distinct336
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.17235416
Minimum0.033910779
Maximum82.84073206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:08.242580image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.033910779
5-th percentile3.17905423
Q115.21617456
median22.98723935
Q342.061271
95-th percentile66.91532836
Maximum82.84073206
Range82.80682128
Interquartile range (IQR)26.84509644

Descriptive statistics

Standard deviation19.10145635
Coefficient of variation (CV)0.654779393
Kurtosis-0.1802576328
Mean29.17235416
Median Absolute Deviation (MAD)11.56912089
Skewness0.7547755184
Sum1292218.6
Variance364.8656347
MonotonicityNot monotonic
2024-11-28T18:58:08.397825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.45432736 1634
 
3.7%
19.16476413 1464
 
3.3%
14.514474 1194
 
2.7%
16.80157822 1033
 
2.3%
15.21617456 942
 
2.1%
10.15767406 829
 
1.9%
19.21606246 822
 
1.9%
12.23730077 641
 
1.4%
3.17905423 460
 
1.0%
68.4112184 404
 
0.9%
Other values (326) 34873
78.7%
ValueCountFrequency (%)
0.033910779 60
0.1%
0.045288293 50
 
0.1%
0.209355213 126
0.3%
0.390033428 121
0.3%
0.728884105 122
0.3%
ValueCountFrequency (%)
82.84073206 4
 
< 0.1%
82.22037258 207
0.5%
81.81046677 177
0.4%
79.39612288 183
0.4%
79.09042356 169
0.4%

market_fastk
Real number (ℝ)

Distinct410
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.8569487
Minimum0.162372013
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:08.487452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.162372013
5-th percentile6.68716928
Q126.93851185
median49.09328719
Q379.44032746
95-th percentile96.34251144
Maximum100
Range99.83762799
Interquartile range (IQR)52.50181561

Descriptive statistics

Standard deviation29.7753246
Coefficient of variation (CV)0.574181963
Kurtosis-1.285865866
Mean51.8569487
Median Absolute Deviation (MAD)24.74971577
Skewness0.05047782067
Sum2297055.399
Variance886.569955
MonotonicityNot monotonic
2024-11-28T18:58:08.597129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.00147211 1634
 
3.7%
38.91446139 1464
 
3.3%
25.22375955 1033
 
2.3%
60.80397931 942
 
2.1%
92.74700909 829
 
1.9%
30.32529376 822
 
1.9%
96.03672066 641
 
1.4%
65.65813173 598
 
1.4%
72.73482392 596
 
1.3%
41.7600422 460
 
1.0%
Other values (400) 35277
79.6%
ValueCountFrequency (%)
0.162372013 150
0.3%
0.17432699 220
0.5%
0.359967669 268
0.6%
0.837936597 76
 
0.2%
0.89785398 213
0.5%
ValueCountFrequency (%)
100 284
0.6%
99.88702869 120
0.3%
99.8652743 87
 
0.2%
99.64015176 58
 
0.1%
99.60497367 3
 
< 0.1%

market_fastd
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.22817619
Minimum7.719363511
Maximum95.80562117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:08.733213image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum7.719363511
5-th percentile15.55663106
Q132.72242232
median52.37774804
Q371.74280124
95-th percentile89.65109417
Maximum95.80562117
Range88.08625766
Interquartile range (IQR)39.02037892

Descriptive statistics

Standard deviation23.74506185
Coefficient of variation (CV)0.4546408391
Kurtosis-1.060284974
Mean52.22817619
Median Absolute Deviation (MAD)19.65532572
Skewness0.04751634568
Sum2313499.293
Variance563.8279623
MonotonicityNot monotonic
2024-11-28T18:58:08.852668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.23997094 1634
 
3.7%
55.12552415 1464
 
3.3%
30.37989769 1033
 
2.3%
66.39897832 942
 
2.1%
48.32408025 829
 
1.9%
32.72242232 822
 
1.9%
71.33582977 641
 
1.4%
56.23941647 598
 
1.4%
41.71325324 596
 
1.3%
76.84792398 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
7.719363511 69
 
0.2%
7.775919455 91
0.2%
8.975319386 194
0.4%
9.50479243 167
0.4%
9.635932243 57
 
0.1%
ValueCountFrequency (%)
95.80562117 153
0.3%
95.79613546 112
0.3%
95.23675603 4
 
< 0.1%
94.66095892 95
0.2%
94.2903599 98
0.2%

market_ht_trendmode
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8393534405
Minimum0
Maximum1
Zeros7116
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:08.966055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3672087779
Coefficient of variation (CV)0.4374900491
Kurtosis1.416533979
Mean0.8393534405
Median Absolute Deviation (MAD)0
Skewness-1.848369558
Sum37180
Variance0.1348422865
MonotonicityNot monotonic
2024-11-28T18:58:09.074464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 37180
83.9%
0 7116
 
16.1%
ValueCountFrequency (%)
0 7116
 
16.1%
1 37180
83.9%
ValueCountFrequency (%)
1 37180
83.9%
0 7116
 
16.1%

market_linearreg_slope
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3903264304
Minimum-11.57167568
Maximum8.092437979
Zeros0
Zeros (%)0.0%
Negative25837
Negative (%)58.3%
Memory size346.2 KiB
2024-11-28T18:58:09.180252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-11.57167568
5-th percentile-6.424395249
Q1-1.423352688
median-0.564521572
Q31.281075178
95-th percentile4.473420732
Maximum8.092437979
Range19.66411366
Interquartile range (IQR)2.704427866

Descriptive statistics

Standard deviation3.039363951
Coefficient of variation (CV)-7.786723406
Kurtosis2.155088803
Mean-0.3903264304
Median Absolute Deviation (MAD)1.33811783
Skewness-0.6388734505
Sum-17289.89956
Variance9.237733229
MonotonicityNot monotonic
2024-11-28T18:58:09.315439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.423352688 1634
 
3.7%
-1.336190025 1464
 
3.3%
-1.356327702 1033
 
2.3%
-1.102708586 942
 
2.1%
-0.793569913 829
 
1.9%
-0.718572998 822
 
1.9%
-0.214343631 641
 
1.4%
-1.062486552 598
 
1.4%
-0.991592575 596
 
1.3%
0.212651951 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-11.57167568 211
0.5%
-11.47614151 86
0.2%
-10.86776621 107
0.2%
-10.40704448 196
0.4%
-9.837511872 176
0.4%
ValueCountFrequency (%)
8.092437979 3
 
< 0.1%
7.966081623 1
 
< 0.1%
7.872263412 4
 
< 0.1%
7.325362388 177
0.4%
7.232026085 207
0.5%

market_macd_macdext
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.170384564
Minimum-51.46314195
Maximum40.34074822
Zeros0
Zeros (%)0.0%
Negative20600
Negative (%)46.5%
Memory size346.2 KiB
2024-11-28T18:58:09.463345image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-51.46314195
5-th percentile-33.65132728
Q1-7.836265466
median0.711171077
Q311.06635226
95-th percentile27.14280133
Maximum40.34074822
Range91.80389017
Interquartile range (IQR)18.90261773

Descriptive statistics

Standard deviation16.44208439
Coefficient of variation (CV)96.49984718
Kurtosis0.870454943
Mean0.170384564
Median Absolute Deviation (MAD)9.42314461
Skewness-0.4369650083
Sum7547.354646
Variance270.3421389
MonotonicityNot monotonic
2024-11-28T18:58:09.899103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.711171077 1634
 
3.7%
3.052135565 1464
 
3.3%
-1.65745877 1033
 
2.3%
5.507162241 942
 
2.1%
-3.361762511 829
 
1.9%
11.06635226 822
 
1.9%
-3.259820694 641
 
1.4%
7.226602114 598
 
1.4%
8.903991504 596
 
1.3%
-3.983883197 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-51.46314195 102
0.2%
-49.95783395 129
0.3%
-48.29231786 89
0.2%
-47.62056972 110
0.2%
-47.38164241 196
0.4%
ValueCountFrequency (%)
40.34074822 38
 
0.1%
40.21541361 46
 
0.1%
39.35304563 42
 
0.1%
38.17381717 27
 
0.1%
37.72954638 136
0.3%

market_macd_macdfix
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7068520255
Minimum-30.03184705
Maximum26.11162166
Zeros0
Zeros (%)0.0%
Negative17682
Negative (%)39.9%
Memory size346.2 KiB
2024-11-28T18:58:10.048816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-30.03184705
5-th percentile-17.44443934
Q1-6.746289179
median2.732088213
Q36.356589687
95-th percentile20.4875094
Maximum26.11162166
Range56.14346871
Interquartile range (IQR)13.10287887

Descriptive statistics

Standard deviation10.75859875
Coefficient of variation (CV)15.22043987
Kurtosis0.4200203653
Mean0.7068520255
Median Absolute Deviation (MAD)6.150438818
Skewness-0.2121267275
Sum31310.71732
Variance115.7474471
MonotonicityNot monotonic
2024-11-28T18:58:10.197852image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.775374121 1634
 
3.7%
3.375103327 1464
 
3.3%
2.251281142 1033
 
2.3%
4.293331783 942
 
2.1%
2.829638536 829
 
1.9%
6.182280065 822
 
1.9%
3.373210829 641
 
1.4%
4.926352859 598
 
1.4%
5.572542302 596
 
1.3%
3.134919177 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-30.03184705 211
0.5%
-29.11135748 86
0.2%
-28.78635467 196
0.4%
-27.77249151 110
0.2%
-27.43828097 107
0.2%
ValueCountFrequency (%)
26.11162166 136
0.3%
25.74715034 207
0.5%
25.38279651 175
0.4%
25.3810565 177
0.4%
25.29592081 205
0.5%

market_macd
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7299447384
Minimum-31.61017779
Maximum27.42923199
Zeros0
Zeros (%)0.0%
Negative17682
Negative (%)39.9%
Memory size346.2 KiB
2024-11-28T18:58:10.334852image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-31.61017779
5-th percentile-18.19688698
Q1-7.138645512
median2.742168078
Q36.659900816
95-th percentile21.5703188
Maximum27.42923199
Range59.03940978
Interquartile range (IQR)13.79854633

Descriptive statistics

Standard deviation11.29660152
Coefficient of variation (CV)15.47596815
Kurtosis0.4296195761
Mean0.7299447384
Median Absolute Deviation (MAD)6.331208988
Skewness-0.2111276501
Sum32333.63213
Variance127.613206
MonotonicityNot monotonic
2024-11-28T18:58:10.492608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.870199036 1634
 
3.7%
3.496669458 1464
 
3.3%
2.323975512 1033
 
2.3%
4.462893568 942
 
2.1%
2.949920989 829
 
1.9%
6.441999007 822
 
1.9%
3.535067105 641
 
1.4%
5.125921126 598
 
1.4%
5.803230008 596
 
1.3%
3.285561677 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-31.61017779 211
0.5%
-30.6741332 86
0.2%
-30.24814678 196
0.4%
-29.14397639 110
0.2%
-28.94164314 107
0.2%
ValueCountFrequency (%)
27.42923199 136
0.3%
27.09486992 207
0.5%
26.7323212 177
0.4%
26.68453737 175
0.4%
26.57497767 205
0.5%

market_macdsignal_macdext
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.048446002
Minimum-46.15241481
Maximum37.13788757
Zeros0
Zeros (%)0.0%
Negative17681
Negative (%)39.9%
Memory size346.2 KiB
2024-11-28T18:58:10.624297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-46.15241481
5-th percentile-29.59670589
Q1-6.596427206
median4.151716368
Q312.24031518
95-th percentile24.98777657
Maximum37.13788757
Range83.29030238
Interquartile range (IQR)18.83674239

Descriptive statistics

Standard deviation15.42573745
Coefficient of variation (CV)7.530458424
Kurtosis0.5971679496
Mean2.048446002
Median Absolute Deviation (MAD)9.06562165
Skewness-0.5706984116
Sum90737.96409
Variance237.9533759
MonotonicityNot monotonic
2024-11-28T18:58:10.755733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.803968381 1634
 
3.7%
10.53662865 1464
 
3.3%
6.877414475 1033
 
2.3%
12.24031518 942
 
2.1%
4.940539531 829
 
1.9%
15.63434106 822
 
1.9%
3.13204142 641
 
1.4%
13.64481499 598
 
1.4%
14.80545308 596
 
1.3%
1.459793036 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-46.15241481 80
0.2%
-46.03040188 72
0.2%
-45.33437497 54
0.1%
-44.91698399 72
0.2%
-43.68427005 102
0.2%
ValueCountFrequency (%)
37.13788757 81
0.2%
36.93491928 45
0.1%
36.78952222 59
0.1%
36.15451746 27
 
0.1%
35.77205513 27
 
0.1%

market_macdsignal_macdfix
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.511685158
Minimum-24.51484701
Maximum23.18747214
Zeros0
Zeros (%)0.0%
Negative17797
Negative (%)40.2%
Memory size346.2 KiB
2024-11-28T18:58:10.869256image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-24.51484701
5-th percentile-15.55623643
Q1-6.281766568
median3.971376848
Q37.782947683
95-th percentile19.59945321
Maximum23.18747214
Range47.70231915
Interquartile range (IQR)14.06471425

Descriptive statistics

Standard deviation9.87409024
Coefficient of variation (CV)6.531843081
Kurtosis-0.09577061479
Mean1.511685158
Median Absolute Deviation (MAD)5.858293799
Skewness-0.2300309133
Sum66961.60576
Variance97.49765807
MonotonicityNot monotonic
2024-11-28T18:58:10.986813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.400279195 1634
 
3.7%
6.056505464 1464
 
3.3%
4.770479585 1033
 
2.3%
6.726855998 942
 
2.1%
4.382311375 829
 
1.9%
8.528687049 822
 
1.9%
4.180491266 641
 
1.4%
7.335237052 598
 
1.4%
7.9374581 596
 
1.3%
3.971376848 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-24.51484701 102
0.2%
-24.47790884 129
0.3%
-24.1906626 54
0.1%
-24.04938869 89
0.2%
-23.6401629 80
0.2%
ValueCountFrequency (%)
23.18747214 110
0.2%
23.1478514 142
0.3%
23.05344069 107
0.2%
22.73589788 136
0.3%
22.71621454 110
0.2%

market_macdsignal
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.577301511
Minimum-25.74043618
Maximum24.35693452
Zeros0
Zeros (%)0.0%
Negative17964
Negative (%)40.6%
Memory size346.2 KiB
2024-11-28T18:58:11.142885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-25.74043618
5-th percentile-16.29617358
Q1-6.681407179
median4.145439795
Q38.143113936
95-th percentile20.51435897
Maximum24.35693452
Range50.0973707
Interquartile range (IQR)14.82452111

Descriptive statistics

Standard deviation10.36209274
Coefficient of variation (CV)6.569506637
Kurtosis-0.08925385164
Mean1.577301511
Median Absolute Deviation (MAD)6.120057645
Skewness-0.2278631192
Sum69868.14771
Variance107.372966
MonotonicityNot monotonic
2024-11-28T18:58:11.228492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.632694688 1634
 
3.7%
6.323318601 1464
 
3.3%
4.970950852 1033
 
2.3%
7.029980886 942
 
2.1%
4.56674488 829
 
1.9%
8.934455765 822
 
1.9%
4.360409325 641
 
1.4%
7.671752716 598
 
1.4%
8.308210613 596
 
1.3%
4.145439795 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-25.74043618 102
0.2%
-25.72444898 129
0.3%
-25.37726142 54
0.1%
-25.29646067 89
0.2%
-24.77856547 80
0.2%
ValueCountFrequency (%)
24.35693452 110
0.2%
24.32904245 142
0.3%
24.20297881 107
0.2%
23.90716734 136
0.3%
23.83579833 110
0.2%

market_max_drawdown_365d
Real number (ℝ)

Distinct70
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7174611869
Minimum-0.895910707
Maximum-0.565216108
Zeros0
Zeros (%)0.0%
Negative44296
Negative (%)100.0%
Memory size346.2 KiB
2024-11-28T18:58:11.379297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.895910707
5-th percentile-0.838674394
Q1-0.736622439
median-0.736622439
Q3-0.668565311
95-th percentile-0.626306597
Maximum-0.565216108
Range0.330694599
Interquartile range (IQR)0.068057128

Descriptive statistics

Standard deviation0.06470832879
Coefficient of variation (CV)-0.09019070296
Kurtosis-0.1289455254
Mean-0.7174611869
Median Absolute Deviation (MAD)0.066364504
Skewness-0.3112142501
Sum-31780.66073
Variance0.004187167815
MonotonicityNot monotonic
2024-11-28T18:58:11.556193image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.736622439 17445
39.4%
-0.668565311 9435
21.3%
-0.838674394 2256
 
5.1%
-0.626306597 1891
 
4.3%
-0.629765286 1543
 
3.5%
-0.724949247 1228
 
2.8%
-0.670257935 1183
 
2.7%
-0.828756316 1047
 
2.4%
-0.741516874 681
 
1.5%
-0.565216108 681
 
1.5%
Other values (60) 6906
 
15.6%
ValueCountFrequency (%)
-0.895910707 8
< 0.1%
-0.893019061 10
< 0.1%
-0.891972475 6
< 0.1%
-0.888394991 3
 
< 0.1%
-0.887924142 3
 
< 0.1%
ValueCountFrequency (%)
-0.565216108 681
1.5%
-0.599942582 59
 
0.1%
-0.606129994 331
0.7%
-0.606536885 49
 
0.1%
-0.610437784 36
 
0.1%

market_natr
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.533406254
Minimum3.089818645
Maximum11.58808817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:11.668379image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.089818645
5-th percentile3.619546114
Q14.520732843
median5.229390659
Q36.303837706
95-th percentile9.191365455
Maximum11.58808817
Range8.498269525
Interquartile range (IQR)1.783104863

Descriptive statistics

Standard deviation1.532825766
Coefficient of variation (CV)0.2770130541
Kurtosis2.502897807
Mean5.533406254
Median Absolute Deviation (MAD)0.826598917
Skewness1.407354185
Sum245107.7634
Variance2.34955483
MonotonicityNot monotonic
2024-11-28T18:58:11.827178image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.520732843 1634
 
3.7%
4.598698677 1464
 
3.3%
4.485804191 1033
 
2.3%
4.532128273 942
 
2.1%
4.26222491 829
 
1.9%
4.647792699 822
 
1.9%
4.203517495 641
 
1.4%
4.544571127 598
 
1.4%
4.542256594 596
 
1.3%
4.385686023 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
3.089818645 177
0.4%
3.201000156 169
0.4%
3.202537051 183
0.4%
3.393171312 207
0.5%
3.423700149 136
0.3%
ValueCountFrequency (%)
11.58808817 107
0.2%
11.19562018 86
0.2%
11.00246616 211
0.5%
10.97356279 213
0.5%
10.53105868 129
0.3%

market_plus_di
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.26017762
Minimum6.297847313
Maximum56.72953403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:11.967363image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.297847313
5-th percentile11.17152102
Q115.78908982
median19.48991679
Q327.57928139
95-th percentile39.78594661
Maximum56.72953403
Range50.43168672
Interquartile range (IQR)11.79019157

Descriptive statistics

Standard deviation9.16307003
Coefficient of variation (CV)0.4116350815
Kurtosis0.6245408831
Mean22.26017762
Median Absolute Deviation (MAD)4.7306506
Skewness1.018165361
Sum986036.828
Variance83.96185238
MonotonicityNot monotonic
2024-11-28T18:58:12.117933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.51806167 1634
 
3.7%
15.12573349 1464
 
3.3%
14.82123903 1033
 
2.3%
15.81059392 942
 
2.1%
22.39942891 829
 
1.9%
16.80854727 822
 
1.9%
22.35281721 641
 
1.4%
16.53976211 598
 
1.4%
17.41749978 596
 
1.3%
19.55232752 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
6.297847313 55
 
0.1%
6.322336373 66
0.1%
6.412404635 23
 
0.1%
6.613994882 69
0.2%
7.401514206 160
0.4%
ValueCountFrequency (%)
56.72953403 4
 
< 0.1%
54.57628533 169
0.4%
50.48427816 177
0.4%
50.44440219 183
0.4%
50.00765831 66
 
0.1%

market_plus_dm
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.43536908
Minimum5.413265311
Maximum108.6860303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:12.250556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.413265311
5-th percentile12.5163762
Q120.39852373
median30.4110804
Q343.52118191
95-th percentile73.22209713
Maximum108.6860303
Range103.272765
Interquartile range (IQR)23.12265818

Descriptive statistics

Standard deviation18.01062648
Coefficient of variation (CV)0.5230269622
Kurtosis1.118757292
Mean34.43536908
Median Absolute Deviation (MAD)11.08223865
Skewness1.114499947
Sum1525349.109
Variance324.3826663
MonotonicityNot monotonic
2024-11-28T18:58:12.362526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.37625406 1634
 
3.7%
18.71288899 1464
 
3.3%
17.04502042 1033
 
2.3%
20.15234198 942
 
2.1%
27.24458745 829
 
1.9%
22.84744355 822
 
1.9%
26.38693965 641
 
1.4%
21.70252214 598
 
1.4%
23.37194692 596
 
1.3%
24.50215825 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
5.413265311 55
 
0.1%
5.829670335 23
 
0.1%
5.903291954 66
0.1%
6.278106515 69
0.2%
6.357391335 160
0.4%
ValueCountFrequency (%)
108.6860303 4
 
< 0.1%
107.6527346 66
0.1%
104.3983546 1
 
< 0.1%
99.96325358 43
0.1%
96.94132925 3
 
< 0.1%

market_ppo
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2678800071
Minimum-29.24872605
Maximum19.42485487
Zeros0
Zeros (%)0.0%
Negative20600
Negative (%)46.5%
Memory size346.2 KiB
2024-11-28T18:58:12.496002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-29.24872605
5-th percentile-13.06625582
Q1-4.305613592
median0.303494626
Q35.438240509
95-th percentile13.23337273
Maximum19.42485487
Range48.67358092
Interquartile range (IQR)9.743854101

Descriptive statistics

Standard deviation8.010178753
Coefficient of variation (CV)29.90211491
Kurtosis1.295633908
Mean0.2678800071
Median Absolute Deviation (MAD)4.989329282
Skewness-0.5639875476
Sum11866.01279
Variance64.16296366
MonotonicityNot monotonic
2024-11-28T18:58:12.634947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.303494626 1634
 
3.7%
1.307650435 1464
 
3.3%
-0.704195178 1033
 
2.3%
2.369146143 942
 
2.1%
-1.420477712 829
 
1.9%
4.827610132 822
 
1.9%
-1.371984742 641
 
1.4%
3.120925147 598
 
1.4%
3.861920855 596
 
1.3%
-1.672638508 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-29.24872605 102
0.2%
-27.84079302 129
0.3%
-26.58560579 54
0.1%
-26.21313599 89
0.2%
-25.15325804 110
0.2%
ValueCountFrequency (%)
19.42485487 46
0.1%
19.35551751 42
0.1%
19.11290874 38
0.1%
18.88102202 64
0.1%
18.72679846 71
0.2%

market_rocp
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00684424459
Minimum-0.545813624
Maximum0.534401725
Zeros0
Zeros (%)0.0%
Negative23737
Negative (%)53.6%
Memory size346.2 KiB
2024-11-28T18:58:12.798210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.545813624
5-th percentile-0.276727385
Q1-0.073433243
median-0.011708302
Q30.072938668
95-th percentile0.242251048
Maximum0.534401725
Range1.080215349
Interquartile range (IQR)0.146371911

Descriptive statistics

Standard deviation0.1537737273
Coefficient of variation (CV)-22.46759672
Kurtosis1.568748135
Mean-0.00684424459
Median Absolute Deviation (MAD)0.072426718
Skewness-0.2342717249
Sum-303.1726583
Variance0.02364635921
MonotonicityNot monotonic
2024-11-28T18:58:12.900573image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.073433243 1634
 
3.7%
-0.07256975 1464
 
3.3%
-0.011708302 1033
 
2.3%
-0.057686434 942
 
2.1%
0.021221567 829
 
1.9%
-0.046816112 822
 
1.9%
0.021905036 641
 
1.4%
-0.049513045 598
 
1.4%
-0.031063163 596
 
1.3%
0.007080976 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
-0.545813624 107
0.2%
-0.52095325 86
 
0.2%
-0.512741336 213
0.5%
-0.453852264 176
0.4%
-0.450796656 230
0.5%
ValueCountFrequency (%)
0.534401725 1
 
< 0.1%
0.529134642 4
 
< 0.1%
0.512095468 3
 
< 0.1%
0.501805047 177
0.4%
0.45466337 3
 
< 0.1%

market_rocr
Real number (ℝ)

Distinct412
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9931557554
Minimum0.454186376
Maximum1.534401725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:13.013629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.454186376
5-th percentile0.723272615
Q10.926566757
median0.988291698
Q31.072938668
95-th percentile1.242251048
Maximum1.534401725
Range1.080215349
Interquartile range (IQR)0.146371911

Descriptive statistics

Standard deviation0.1537737273
Coefficient of variation (CV)0.1548334453
Kurtosis1.568748135
Mean0.9931557554
Median Absolute Deviation (MAD)0.072426718
Skewness-0.2342717249
Sum43992.82734
Variance0.02364635921
MonotonicityNot monotonic
2024-11-28T18:58:13.122763image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.926566757 1634
 
3.7%
0.92743025 1464
 
3.3%
0.988291698 1033
 
2.3%
0.942313566 942
 
2.1%
1.021221567 829
 
1.9%
0.953183888 822
 
1.9%
1.021905036 641
 
1.4%
0.950486955 598
 
1.4%
0.968936837 596
 
1.3%
1.007080976 460
 
1.0%
Other values (402) 35277
79.6%
ValueCountFrequency (%)
0.454186376 107
0.2%
0.47904675 86
 
0.2%
0.487258664 213
0.5%
0.546147736 176
0.4%
0.549203344 230
0.5%
ValueCountFrequency (%)
1.534401725 1
 
< 0.1%
1.529134642 4
 
< 0.1%
1.512095468 3
 
< 0.1%
1.501805047 177
0.4%
1.45466337 3
 
< 0.1%

unique_borrow_protocol_count
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8467581723
Minimum0
Maximum1
Zeros6788
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:13.267056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3602245124
Coefficient of variation (CV)0.4254160447
Kurtosis1.706936313
Mean0.8467581723
Median Absolute Deviation (MAD)0
Skewness-1.925320557
Sum37508
Variance0.1297616994
MonotonicityNot monotonic
2024-11-28T18:58:13.371296image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 37508
84.7%
0 6788
 
15.3%
ValueCountFrequency (%)
0 6788
 
15.3%
1 37508
84.7%
ValueCountFrequency (%)
1 37508
84.7%
0 6788
 
15.3%

unique_lending_protocol_count
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9702681958
Minimum0
Maximum1
Zeros1317
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size346.2 KiB
2024-11-28T18:58:13.457398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1698483892
Coefficient of variation (CV)0.1750530317
Kurtosis28.66803089
Mean0.9702681958
Median Absolute Deviation (MAD)0
Skewness-5.537755547
Sum42979
Variance0.02884847531
MonotonicityNot monotonic
2024-11-28T18:58:13.556611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 42979
97.0%
0 1317
 
3.0%
ValueCountFrequency (%)
0 1317
 
3.0%
1 42979
97.0%
ValueCountFrequency (%)
1 42979
97.0%
0 1317
 
3.0%